[FreeCoursesOnline.Me] UDACITY - Computer Vision Nanodegree v4.0.0
File List
- Part 08-Module 01-Lesson 01_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.mp4 54.6 MB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.mp4 50.2 MB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/21. Mini Project 6 Solution-ji0famK7gOQ.mp4 39.1 MB
- Part 05-Module 01-Lesson 01_Applying Deep Learning Models/02. Navegação de tráfico 3-az5ElmV4DhY.mp4 38.1 MB
- Part 03-Module 01-Lesson 03_RNN_s/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp4 37.1 MB
- Part 03-Module 01-Lesson 03_RNN_s/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp4 36.2 MB
- Part 03-Module 01-Lesson 03_RNN_s/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp4 34.8 MB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 34.6 MB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/22. Analysis What_s Going on in the Weights-UHsT35pbpcE.mp4 33.7 MB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/02. Meet Chris-0ccflD9x5WU.mp4 32.5 MB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/18. Mini Project 5 Solution-Hv86B_jjWTI.mp4 28.9 MB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 28.4 MB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 27.1 MB
- Part 03-Module 01-Lesson 03_RNN_s/06. 07 FeedForward B V3-kTYbTVh1d0k.mp4 26.7 MB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/img.zip 26.6 MB
- Part 03-Module 01-Lesson 03_RNN_s/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp4 25.8 MB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp4 25.0 MB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.mp4 24.9 MB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/07. Mini Project 1 Solution-l4r5l0HvHRI.mp4 24.8 MB
- Part 03-Module 01-Lesson 03_RNN_s/03. 02 RNN History V4 Final-HbxAnYUfRnc.mp4 24.3 MB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/02. Andrew Trask - Intro-da1I0mea1jQ.mp4 23.8 MB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/30. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.mp4 23.8 MB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/08. Images as Grids of Pixels-RVNiaZuv6Ss.mp4 22.6 MB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/19. Further Noise Reduction-Kl3hWxizKVg.mp4 22.3 MB
- Part 03-Module 01-Lesson 03_RNN_s/16. 18 RNN Example V5 Final-MDLk3fhpTx0.mp4 22.1 MB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.mp4 21.8 MB
- Part 03-Module 01-Lesson 03_RNN_s/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.mp4 21.6 MB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 21.5 MB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/26. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.mp4 21.2 MB
- Part 03-Module 01-Lesson 03_RNN_s/13. 16 RNN B V4 Final-wsif3p5t7CI.mp4 21.1 MB
- Part 03-Module 01-Lesson 03_RNN_s/02. 01 RNN Intro V6 Final-AIQEqg6F38A.mp4 20.9 MB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp4 20.7 MB
- Part 03-Module 01-Lesson 03_RNN_s/img.zip 20.6 MB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.mp4 20.6 MB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/05. Convolutional Layers (Part 2)-LX-yVob3c28.mp4 19.9 MB
- Part 03-Module 01-Lesson 03_RNN_s/05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.mp4 19.7 MB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.mp4 18.8 MB
- Part 03-Module 01-Lesson 03_RNN_s/18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.mp4 18.1 MB
- Part 03-Module 01-Lesson 03_RNN_s/06. 06 FeedForward A V7 Final-4rCfnWbx8-0.mp4 17.7 MB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/05. Framing the Problem-IsTOnkAKaJw.mp4 17.7 MB
- Part 03-Module 01-Lesson 03_RNN_s/04. 03 RNN Applications V3 Final-6JbTNARuKII.mp4 17.3 MB
- Part 03-Module 01-Lesson 03_RNN_s/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.mp4 17.2 MB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.mp4 15.9 MB
- Part 03-Module 01-Lesson 03_RNN_s/09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.mp4 14.8 MB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/21. Labeled Data and Accuracy-FN96OM_JGyM.mp4 14.7 MB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.mp4 14.6 MB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.mp4 14.0 MB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/06. AffdexMe Demo-dpFtXDqakvY.mp4 14.0 MB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.mp4 13.8 MB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/21. 18 Implementing SLAM QUIZ RENDER V1-Ptx33qEaUQQ.mp4 13.6 MB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4 13.2 MB
- Part 10-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.mp4 13.2 MB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/01. 惯性导航-vWgG0d2HOVE.mp4 12.9 MB
- Part 04-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.mp4 12.9 MB
- Part 03-Module 01-Lesson 03_RNN_s/08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.mp4 12.8 MB
- Part 03-Module 01-Lesson 02_YOLO/13. 10 Anchor Boxes V3-IzILYgVb76g.mp4 12.1 MB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/01. 01 Introduction To Attention V2-NCn97L5WbCY.mp4 12.0 MB
- Part 10-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.mp4 12.0 MB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/23. Andrew Trask - Outro-nIF0GLOQglQ.mp4 11.8 MB
- Part 10-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.mp4 11.6 MB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/14. Coding A Blue Screen-jeeDryFxodk.mp4 11.4 MB
- Part 01-Module 01-Lesson 07_Feature Vectors/08. 05 Scale And RotationInvariance V2-2k3T6rfjvx0.mp4 10.9 MB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.mp4 10.6 MB
- Part 03-Module 01-Lesson 03_RNN_s/14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.mp4 10.5 MB
- Part 10-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.mp4 10.5 MB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/img.zip 10.5 MB
- Part 03-Module 01-Lesson 03_RNN_s/12. 14 RNN A V4 Final-ofbnDxGSUcg.mp4 10.4 MB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/11. Building a Neural Network-aM2k7RTjjJI.mp4 10.2 MB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/23. Nd113 C7 29 L Features-HshygbfQylA.mp4 10.0 MB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/04. Elevator Pitch-0QtgTG49E9I.mp4 10.0 MB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/03. 03 Classification And Localization RENDER V3-UqNg9d6cKQU.mp4 10.0 MB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/17. Color Spaces and Transforms-B350aJVSsFc.mp4 9.9 MB
- Part 03-Module 01-Lesson 07_Image Captioning/07. 06 Tokenizing Captions V3-aeEFb0eSzJ8.mp4 9.9 MB
- Part 01-Module 01-Lesson 07_Feature Vectors/11. 08 ORB In Video V2 (1)-Vzs6B1dFQC0.mp4 9.8 MB
- Part 04-Module 01-Lesson 02_Robot Localization/35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.mp4 9.7 MB
- Part 03-Module 01-Lesson 05_Hyperparameters/03. Learning Rate-HLMjeDez7ps.mp4 9.6 MB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/10. Color Images--XbXiiGQ9gw.mp4 9.6 MB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.mp4 9.6 MB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/02. Corner Detectors-jemzDq07MEI.mp4 9.5 MB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/21. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.mp4 9.5 MB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/04. 04 Bounding Boxes And Regression V1 RENDER V3-2YM82c7SaCo.mp4 9.5 MB
- Part 03-Module 01-Lesson 02_YOLO/03. 03 A Convolutional Approach To Sliding Windows V3-8qYqqibIz90.mp4 9.4 MB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/10. Mini Project 2 Solution-45ihpPaeO8E.mp4 9.2 MB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/01. 01 CNNs And Scene Understanding RENDER Full V2-_iRqSOsTBQU.mp4 9.1 MB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/01. Why Network-exjEm9Paszk.mp4 8.7 MB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/15. Approximating The Integral-9C05AHzI_I8.mp4 8.6 MB
- Part 01-Module 01-Lesson 07_Feature Vectors/10. 07 Feature Matching V2-RH05Wnl1-2A.mp4 8.4 MB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.mp4 8.3 MB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/05. High-pass Filters-OpcFn_H2V-Q.mp4 8.2 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/26. Conclusion-WhpE_8sTt-0.mp4 8.2 MB
- Part 10-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.mp4 8.1 MB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/12. 08 Multiplicative Attention V2-1-OwCgrx1eQ.mp4 8.0 MB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/04. 09. Training a Model-m4GVfwVkj74.mp4 8.0 MB
- Part 10-Module 01-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.mp4 8.0 MB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/img.zip 7.9 MB
- Part 01-Module 01-Lesson 07_Feature Vectors/07. 04 Brief V4-EKIPEPpRciw.mp4 7.9 MB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/01. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.mp4 7.9 MB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/20. Working with Real Data-WvEcWtAz-OQ.mp4 7.7 MB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/06. 4 HSA Learning In The Classroom V3 Demov1 V3-KN_SROb6SnM.mp4 7.6 MB
- Part 03-Module 01-Lesson 07_Image Captioning/09. 07 RNN Training V4-P-tHxD7kRmA.mp4 7.6 MB
- Part 06-Module 01-Lesson 02_Training Neural Networks/07. Regularization-ndYnUrx8xvs.mp4 7.6 MB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/13. Color Thresholds-08ZlYZJaiUg.mp4 7.5 MB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/08. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.mp4 7.5 MB
- Part 01-Module 01-Lesson 02_Knowledge, Community, and Careers/img.zip 7.4 MB
- Part 04-Module 01-Lesson 02_Robot Localization/38. Lesson Overview C++-lR3PH3bL-9U.mp4 7.4 MB
- Part 10-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.mp4 7.4 MB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.mp4 7.4 MB
- Part 03-Module 01-Lesson 03_RNN_s/24. RNN Summary-nXP0oGGRrO8.mp4 7.3 MB
- Part 01-Module 01-Lesson 07_Feature Vectors/05. 03 Fast V3-DCHAc6fjcVM.mp4 7.2 MB
- Part 01-Module 01-Lesson 07_Feature Vectors/03. 01 Realtime Feature Detection V2-zPxylrXf-Gs.mp4 7.0 MB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/15. Canny Edge Detection-Nm1H2xMMS3I.mp4 7.0 MB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/04. Nd113 C6 L1 09 L Interpreting Position Vs Time Graphs V3-NAEasXHN_PU.mp4 7.0 MB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.mp4 6.9 MB
- Part 03-Module 01-Lesson 02_YOLO/14. 11 YOLO Algorithm V3-ZbQzCHQ8YEo.mp4 6.9 MB
- Part 04-Module 01-Lesson 02_Robot Localization/04. 概率分布入门 2-PglBg4eb_5M.mp4 6.9 MB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/18. Rate Gyros-TmnecSf80b0.mp4 6.8 MB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/06. 05 Region Proposals V1 RENDER V2-HLwpr7h3rPY.mp4 6.7 MB
- Part 03-Module 01-Lesson 02_YOLO/02. 02 YOLO Output V2-MyOuuwk0qC4.mp4 6.7 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/18. ROC Curve-2Iw5TiGzJI4.mp4 6.7 MB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/11. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.mp4 6.7 MB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/08. Transforming Text into Numbers-7rHBU5cbePE.mp4 6.6 MB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/img.zip 6.6 MB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/07. Creating a Filter-VEsdTRBH3D8.mp4 6.6 MB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/15. 10 Computer Vision Applications V3-bhWwc4BYTYc.mp4 6.6 MB
- Part 03-Module 01-Lesson 02_YOLO/12. 09 NonMaximal Suppression V1-TE6M29Jo9hk.mp4 6.6 MB
- Part 01-Module 01-Lesson 10_Jobs in Computer Vision/img.zip 6.6 MB
- Part 03-Module 01-Lesson 02_YOLO/07. 06 Generating Bounding Boxes V3-TGfPX-XcyOs.mp4 6.6 MB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/28. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.mp4 6.5 MB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/05. Backpropagation V2-1SmY3TZTyUk.mp4 6.5 MB
- Part 06-Module 01-Lesson 02_Training Neural Networks/04. Underfitting And Overfitting-xj4PlXMsN-Y.mp4 6.4 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/img.zip 6.4 MB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/02. 05. Emotional Intelligence-D_LzJsJH5qk.mp4 6.3 MB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/10. K-means Implementation-poKlg-aB4rU.mp4 6.3 MB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/17. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.mp4 6.1 MB
- Part 10-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.mp4 6.1 MB
- Part 04-Module 01-Lesson 05_Representing State and Motion/14. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.mp4 6.1 MB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/09. K-means Clustering-Cf_LSDCEBzk.mp4 6.1 MB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.mp4 6.0 MB
- Part 03-Module 01-Lesson 07_Image Captioning/06. 05 The Glue V5-u2ZdcUDnHm0.mp4 6.0 MB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/25. Solving Trig Problems Part1-qI4i845d7Qg.mp4 6.0 MB
- Part 03-Module 01-Lesson 07_Image Captioning/01. 01 L Introduction V3-dobNslC2y-o.mp4 5.9 MB
- Part 10-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.mp4 5.8 MB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/16. 11 Other Attention Methods V2-VmsR9FVpQiM.mp4 5.8 MB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/07. 06 RCNN V1 RENDER V2-EchapZJMTYU.mp4 5.8 MB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/09. Pooling Layers-OkkIZNs7Cyc.mp4 5.8 MB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/28. Conclusion-gMbDqd4ItiU.mp4 5.7 MB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4 5.7 MB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/14. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.mp4 5.7 MB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/03. 3 HSA Course Outline V3 Demo01 1 V3-INMNyJGB2DI.mp4 5.6 MB
- Part 03-Module 01-Lesson 07_Image Captioning/03. 03 Captions And The COCO Dataset V3-DMmJs1w1n7A.mp4 5.6 MB
- Part 03-Module 01-Lesson 02_YOLO/01. 01 Introduction V3-uyefSrHZesY.mp4 5.6 MB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/02. 03 Graph SLAM Quiz V2-OGBC9HrVqd4.mp4 5.5 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/12. Validating The Training-Oxm9ofvov3I.mp4 5.5 MB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/11. Gaussian Blur-1tlPonqIOrU.mp4 5.5 MB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/02. 2 HSA Computer Vision In Industry V3 Demo02 V3-_8be3GdqfqU.mp4 5.5 MB
- Part 04-Module 01-Lesson 02_Robot Localization/06. 05 Total Probability V4-RCEieE2t8U4.mp4 5.5 MB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/14. 07 L The Integral Area Under A Curve H1 V2-QNvgwoIrsIE.mp4 5.3 MB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4 5.3 MB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/06. Image Contours-Wcbrl7Wr_kU.mp4 5.3 MB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/10. Low-pass Filters-jy5Be9vf2rk.mp4 5.2 MB
- Part 10-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.mp4 5.1 MB
- Part 04-Module 01-Lesson 05_Representing State and Motion/19. State Vector-st26ov_TVwM.mp4 5.1 MB
- Part 04-Module 01-Lesson 05_Representing State and Motion/10. Car Object-SnfhGZ76h7Y.mp4 5.1 MB
- Part 04-Module 01-Lesson 02_Robot Localization/05. 03 Localization V1-OB6GZxfvESw.mp4 5.1 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/24. Confusion Matrix-Question 1-9GLNjmMUB_4.mp4 5.0 MB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/03. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.mp4 5.0 MB
- Part 04-Module 01-Lesson 01_Introduction to Motion/03. Motion -A-QJf04LBb0.mp4 5.0 MB
- Part 04-Module 01-Lesson 05_Representing State and Motion/07. Quantifying State-9zMbwSqTZAc.mp4 5.0 MB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/01. 1 HS Welcome To Computer Vision V2Demo1 V2-9s-gm2ZvODI.mp4 5.0 MB
- Part 04-Module 01-Lesson 01_Introduction to Motion/01. Object Tracking V4 (1)-ciEo6PyMTeM.mp4 5.0 MB
- Part 06-Module 01-Lesson 02_Training Neural Networks/05. Model Complexity Graph-NnS0FJyVcDQ.mp4 4.9 MB
- Part 03-Module 01-Lesson 02_YOLO/05. 04 Using A Grid To Improve Localization V2-OmgR35Go79Y.mp4 4.9 MB
- Part 03-Module 01-Lesson 05_Hyperparameters/05. Minibatch Size-GrrO1NFxaW8.mp4 4.8 MB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.mp4 4.8 MB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/12. 12 Omega And Xi QUIZ RENDER V1-KqCBoAaa5jQ.mp4 4.7 MB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/03. KALMAN Tracking Intro RENDER V2-C73G7vfVNQc.mp4 4.7 MB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/03. Combinando modelos-Boy3zHVrWB4.mp4 4.7 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/02. 02 Skin Cancer V4-70jGZeiTNgk.mp4 4.7 MB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/01. 02 Intro To CNN Layers V1 RENDER V3-hT6zBYCuAfw.mp4 4.7 MB
- Part 01-Module 01-Lesson 07_Feature Vectors/13. Histogram of Oriented Gradients-dqe9zGtxoNM.mp4 4.6 MB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/04. More Kalman Filters RENDER V2-5QYGm4D9z6Y.mp4 4.6 MB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/19. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.mp4 4.5 MB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/20. Hough Line Detection-PVIUkQKbrUw.mp4 4.5 MB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/02. Architecture encoder decoder-dkHdEAJnV_w.mp4 4.5 MB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/01. Intro-1sm1EbfilXI.mp4 4.5 MB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/05. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.mp4 4.4 MB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/07. Image Formation-6ZVnQYzfpis.mp4 4.4 MB
- Part 03-Module 01-Lesson 07_Image Captioning/05. 04 CNNRNN Model V3-n7kdMiX1Xz8.mp4 4.4 MB
- Part 04-Module 01-Lesson 02_Robot Localization/36. Sense And Move 2 Solution Director_SCut-7gl2GF-laOQ.mp4 4.3 MB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.mp4 4.3 MB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.mp4 4.3 MB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/16. Dropout-Ty6K6YiGdBs.mp4 4.2 MB
- Part 06-Module 01-Lesson 02_Training Neural Networks/08. Dropout-Ty6K6YiGdBs.mp4 4.2 MB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/01. 02 SLAM V1-UVkkDPJshgM.mp4 4.2 MB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/13. 09 Additive Attention V2-93VfVWZ-IvY.mp4 4.2 MB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/01. 矩阵介绍-Ugx3mldc0lE.mp4 4.2 MB
- Part 03-Module 01-Lesson 05_Hyperparameters/08. RNN Hyperparameters-yQvnv7l_aUo.mp4 4.1 MB
- Part 04-Module 01-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.mp4 4.1 MB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/01. Introducing Andrew Trask-ltO71Bm8b3M.mp4 4.1 MB
- Part 10-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.mp4 4.1 MB
- Part 04-Module 01-Lesson 05_Representing State and Motion/01. Localization Steps-4SiMoSTf4rQ.mp4 4.1 MB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/03. LSTM Basics-gjb68a4XsqE.mp4 4.0 MB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.mp4 4.0 MB
- Part 06-Module 01-Lesson 02_Training Neural Networks/13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp4 4.0 MB
- Part 03-Module 01-Lesson 02_YOLO/10. 08 Intersection Over Union IOU V1-ieKEHlEjIsY.mp4 3.9 MB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/10. 09 Detection Without Proposals Summary V1-IMnt1HFu_nc.mp4 3.9 MB
- Part 03-Module 01-Lesson 07_Image Captioning/11. 09 On To The Project V2-MsxNRaYTNSk.mp4 3.9 MB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/09. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.mp4 3.8 MB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.mp4 3.8 MB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/04. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.mp4 3.8 MB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/11. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.mp4 3.8 MB
- Part 02-Module 01-Lesson 01_Cloud Computing with Google Cloud/img.zip 3.8 MB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/31. Nd113 Matrices L3 12 V1-BRLmFGScL_k.mp4 3.7 MB
- Part 04-Module 01-Lesson 01_Introduction to Motion/08. 04 Tracking Features V2-uFf6IZ5MxgU.mp4 3.7 MB
- Part 04-Module 01-Lesson 05_Representing State and Motion/09. Always Moving-EQBQlHvxAQA.mp4 3.6 MB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/img.zip 3.6 MB
- Part 04-Module 01-Lesson 01_Introduction to Motion/05. 01 Motion Vector V2-I3f3IEUI2tg.mp4 3.6 MB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.mp4 3.6 MB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/02. RNN Vs LSTM-70MgF-IwAr8.mp4 3.6 MB
- Part 04-Module 01-Lesson 01_Introduction to Motion/06. 02 Brightness Constancy Assumption V3-GHz9Yzt5tro.mp4 3.6 MB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/06. KALMAN Kalman Filter Design RENDER V2-7C_tsAr8PNM.mp4 3.6 MB
- Part 04-Module 01-Lesson 02_Robot Localization/02. Reduzindo a incerteza-zuFMhmKQ--o.mp4 3.5 MB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/01. 01 Pattern Recognition V1-cX5EE1WEqhY.mp4 3.5 MB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/27. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.mp4 3.5 MB
- Part 04-Module 01-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.mp4 3.5 MB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/03. 08. Computer Vision Pipeline-64hFcqhnNow.mp4 3.5 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/23. What Is The Neural Network Looking At-qN-rvoxPbBw.mp4 3.5 MB
- Part 03-Module 01-Lesson 05_Hyperparameters/07. Number Of Hidden Units Layers-IkGAIQH5wH8.mp4 3.4 MB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/img.zip 3.4 MB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/12. IoU---9BTjOsO6U.mp4 3.4 MB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/23. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.mp4 3.3 MB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/01. Types Of Features-cJHro29nzgg.mp4 3.3 MB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/02. 02 More Than Classification RENDER V2-vBE5KvvAYzg.mp4 3.3 MB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.mp4 3.3 MB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/05. Calculating The Gradient 1 -tVuZDbUrzzI.mp4 3.3 MB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.mp4 3.3 MB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.mp4 3.3 MB
- Part 03-Module 01-Lesson 02_YOLO/img.zip 3.3 MB
- Part 04-Module 01-Lesson 02_Robot Localization/33. 27 Sense And Move V2-v2dYzm6-YVs.mp4 3.3 MB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/01. Kalman Filter Land RENDER 1 V1-6xupqulu0bc.mp4 3.3 MB
- Part 04-Module 01-Lesson 05_Representing State and Motion/24. Working With Matrices-nruxu8pr6i8.mp4 3.3 MB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/18. Hough Transform-RIOzsF1_xuo.mp4 3.3 MB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/15. Outro-vyNI5hdMigs.mp4 3.2 MB
- Part 03-Module 01-Lesson 07_Image Captioning/08. Tokenization-4Ieotbeh4u8.mp4 3.2 MB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/18. 16 Introducing Noise Solution RENDER V1-X5kh82oke5w.mp4 3.2 MB
- Part 04-Module 01-Lesson 05_Representing State and Motion/20. State Transformation Matrix-DRRuQMYo800.mp4 3.2 MB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/13. 06 L Reasoning About Two Peaks H1 V1-bgPS1GO1EJs.mp4 3.2 MB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/06. 04 Attention Overview Decoding V2-DJxiPd585GY.mp4 3.2 MB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/09. 06 Attention Decoder V1-5mMz6nN9_Ss.mp4 3.2 MB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/03. Layers-pg99FkXYK0M.mp4 3.1 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/25. Confusion Matrix-3rpN-YYlfes.mp4 3.1 MB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/23. Haar Cascades-vALIpxVfKRc.mp4 3.1 MB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.mp4 3.0 MB
- Part 04-Module 01-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.mp4 3.0 MB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/19. 17 Confident Measurements QUIZ RENDER V2-WRANOBm89I4.mp4 3.0 MB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.mp4 3.0 MB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.mp4 3.0 MB
- Part 03-Module 01-Lesson 08_Project Image Captioning/img.zip 3.0 MB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/03. Fully Convolutional Networks-_Lh2ozg5yTs.mp4 3.0 MB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/08. 07 Fast RCNN V1 RENDER V2-6FOBZ9OgWlY.mp4 3.0 MB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/09. 08 Faster RCNN V1 RENDER V2-ySh_Q3KTTBY.mp4 3.0 MB
- Part 03-Module 01-Lesson 07_Image Captioning/img.zip 3.0 MB
- Part 06-Module 01-Lesson 02_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.mp4 3.0 MB
- Part 01-Module 01-Lesson 07_Feature Vectors/04. 02 Introduction To ORB V3-WN37zcMhMas.mp4 2.9 MB
- Part 03-Module 01-Lesson 02_YOLO/06. 05 Training On A Grid V2-uhefpakvXh8.mp4 2.9 MB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/13. Character-Wise RNN-m_S2hs6-j5w.mp4 2.9 MB
- Part 04-Module 01-Lesson 05_Representing State and Motion/08. Lesson Outline-jh7wLGXrm3E.mp4 2.9 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/05. The Data-2RLbbV7MQNA.mp4 2.9 MB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/20. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.mp4 2.8 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.mp4 2.8 MB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4 2.8 MB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/img.zip 2.8 MB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.mp4 2.8 MB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/05. KALMAN Gaussian Intro RENDER 1 1 V3-S2v1CExswT4.mp4 2.7 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/21. ROC Curve-fWwe_JlpnlQ.mp4 2.7 MB
- Part 04-Module 01-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.mp4 2.6 MB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/02. Why Fully Convolutional Networks (FCNs) -WQ_YOz1o9GM.mp4 2.6 MB
- Part 03-Module 01-Lesson 07_Image Captioning/02. 02 Leveraging Neural Networks V3-thClOUTiNxY.mp4 2.6 MB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.mp4 2.5 MB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/11. Scene Understanding-aMQREc-mP50.mp4 2.5 MB
- Part 01-Module 01-Lesson 07_Feature Vectors/02. Feature Vectors--PF1_MITrOw.mp4 2.5 MB
- Part 04-Module 01-Lesson 01_Introduction to Motion/02. Localization V1 (1)-QkVyEMTUkAw.mp4 2.5 MB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/02. Applications seq2seq-tDJBDwriJYQ.mp4 2.5 MB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/04. 04 Implementing Constraints Quiz V1-2V3ZF08TcX8.mp4 2.5 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/22. Visualization-aGIGB4Ta3_A.mp4 2.4 MB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/08. 05 Attention Encoder V2-sphe9LDT4rA.mp4 2.4 MB
- Part 04-Module 01-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.mp4 2.4 MB
- Part 04-Module 01-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.mp4 2.3 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.mp4 2.3 MB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/img.zip 2.3 MB
- Part 06-Module 01-Lesson 02_Training Neural Networks/12. Other Activation Functions-kA-1vUt6cvQ.mp4 2.3 MB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/14. Sequence Batching-pdSr5F-9qE0.mp4 2.3 MB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.mp4 2.3 MB
- Part 04-Module 01-Lesson 02_Robot Localization/08. 09 Probability After Sense V1-aWQMJQQmNGw.mp4 2.2 MB
- Part 01-Module 01-Lesson 03_Get Help with Your Account/img.zip 2.2 MB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/06. Learn Gate-aVHVI7ovbHY.mp4 2.2 MB
- Part 03-Module 01-Lesson 05_Hyperparameters/02. Introduction-erwnzFD7AeE.mp4 2.2 MB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/img.zip 2.2 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/04. Medical Classification-RCOSP60dV7U.mp4 2.2 MB
- Part 04-Module 01-Lesson 02_Robot Localization/04. 概率分布入门 1-gqPjMDVFvNg.mp4 2.2 MB
- Part 04-Module 01-Lesson 03_Mini-project 2D Histogram Filter/01. Project Overview-uaWZNKGTtgM.mp4 2.2 MB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/16. 动量-r-rYz_PEWC8.mp4 2.1 MB
- Part 06-Module 01-Lesson 02_Training Neural Networks/15. Momentum-r-rYz_PEWC8.mp4 2.1 MB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/14. KALMAN QUIZ Parameter Update 01 RENDER V3-UUXETqShme4.mp4 2.1 MB
- Part 04-Module 01-Lesson 01_Introduction to Motion/04. Optical Flow-TOS8UJwCtTg.mp4 2.1 MB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/img.zip 2.1 MB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/24. Trigonometry And Vehicle Motion-WY3T-9GHI_0.mp4 2.1 MB
- Part 04-Module 01-Lesson 05_Representing State and Motion/03. Motion Models-qSdbn_PVQnk.mp4 2.1 MB
- Part 06-Module 01-Lesson 02_Training Neural Networks/03. Testing-EeBZpb-PSac.mp4 2.0 MB
- Part 04-Module 01-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.mp4 2.0 MB
- Part 04-Module 01-Lesson 02_Robot Localization/25. 20 Inexact Motion 1 V3-hHAwFNsIp1c.mp4 2.0 MB
- Part 03-Module 01-Lesson 07_Image Captioning/10. 08 Video Captioning V1-I_m9JyKTfbQ.mp4 2.0 MB
- Part 03-Module 01-Lesson 02_YOLO/09. 07 Too Many Boxes V2-nYDWsFdFnQ8.mp4 1.9 MB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/03. Multiclass Classification-uNTtvxwfox0.mp4 1.9 MB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/10. KALMAN QUIZ Shifting The Mean 01 RENDER 1 V2-gfBdoCFborg.mp4 1.8 MB
- Part 04-Module 01-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.mp4 1.8 MB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/09. Semantic Segmentation-_L5gJnZrw48.mp4 1.7 MB
- Part 06-Module 01-Lesson 02_Training Neural Networks/16. Error Functions Around the World-34AAcTECu2A.mp4 1.7 MB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/05. 03 Attention Overview Encoding V2-IctAnMaVUKc.mp4 1.7 MB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4 1.7 MB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/16. Other Architectures-MsxFDuYlTuQ.mp4 1.7 MB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/06. Skip Connections-JUYLA5PWzo0.mp4 1.7 MB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/02. QUIZ Kalman Filter Prediction 01 RENDER V2-DjoBJNLzhj8.mp4 1.7 MB
- Part 04-Module 01-Lesson 02_Robot Localization/28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.mp4 1.6 MB
- Part 04-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.mp4 1.6 MB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.mp4 1.6 MB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/10. Putting It All Together-IF8FlKW-Zo0.mp4 1.6 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.mp4 1.6 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/14. Solution Sensitivty And Specificity-GBZjyeMjKxc.mp4 1.6 MB
- Part 04-Module 01-Lesson 02_Robot Localization/17. 16 Test Sense Function V1-gytbuOI9-3g.mp4 1.6 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/01. Introduction-ZCpXvVdIdnY.mp4 1.6 MB
- Part 04-Module 01-Lesson 05_Representing State and Motion/05. A Different Model-Mh0g-SMpMI4.mp4 1.5 MB
- Part 05-Module 01-Lesson 01_Applying Deep Learning Models/img.zip 1.5 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/03. Survival Rate-QPlp3NeGuSk.mp4 1.5 MB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.mp4 1.5 MB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/11. 11 Untouched Fields Solution RENDER V2-cKFEdCwBGqo.mp4 1.5 MB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/09. LSTM 7 Use Gate-5Ifolm1jTdY.mp4 1.5 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/08. Solution Data Challenges-1z3o4niQuNg.mp4 1.5 MB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/07. FCNs In The Wild-q9wTd53-hsw.mp4 1.5 MB
- Part 03-Module 01-Lesson 05_Hyperparameters/06. Number Of Iterations-TTdHpSb4DV8.mp4 1.5 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/06. 06 Image Challenge V3-Efnoj1KNPHw.mp4 1.5 MB
- Part 03-Module 01-Lesson 03_RNN_s/09. Regra da cadeia-YAhIBOnbt54.mp4 1.5 MB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/05. Chain Rule-YAhIBOnbt54.mp4 1.5 MB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/08. Moving Forward V4-E35QVmp1f2k.mp4 1.4 MB
- assets.zip 1.4 MB
- Part 10-Module 01-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.mp4 1.4 MB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.mp4 1.4 MB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.mp4 1.4 MB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.mp4 1.3 MB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/img.zip 1.3 MB
- Part 06-Module 01-Lesson 02_Training Neural Networks/11. Vanishing Gradient-W_JJm_5syFw.mp4 1.3 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/09. Training The Neural Network-HwiI-UXUx-M.mp4 1.2 MB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/17. 15 Introducing Noise QUIZ RENDER V1-E_OI5DinFA0.mp4 1.2 MB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/08. Bounding Boxes-uPv4d0Xl8hc.mp4 1.2 MB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.mp4 1.2 MB
- Part 04-Module 01-Lesson 02_Robot Localization/29. 24 Limit Distribution Quiz V3-NJvalJwjz18.mp4 1.2 MB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/04. Fully Connected to 1x1 Convolution-xbPtOhkJW1A.mp4 1.2 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction-Rgf3YVFWl-M.mp4 1.2 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.mp4 1.1 MB
- Part 04-Module 01-Lesson 02_Robot Localization/img.zip 1.1 MB
- Part 04-Module 01-Lesson 05_Representing State and Motion/02. Intro To State-zfilXYrW4Gk.mp4 1.1 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/20. Solution ROC Curve-sdUUf6RRmXI.mp4 1.1 MB
- Part 10-Module 01-Lesson 05_Python and C++ Speed/01. Introduction-JklGKdn3_go.mp4 1.1 MB
- Part 10-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.mp4 1.1 MB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.mp4 1.1 MB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/04. LSTM Architecture-ycwthhdx8ws.mp4 1.1 MB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/08. 08 Matrix Modification Quiz V1-e3zpWlM9IRg.mp4 1.1 MB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/07. Forget Gate-iWxpfxLUPSU.mp4 1.0 MB
- Part 06-Module 01-Lesson 02_Training Neural Networks/06. DL 53 Q Regularization-KxROxcRsHL8.mp4 1.0 MB
- Part 04-Module 01-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.mp4 1006.8 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/09. 09 Matrix Modification Solution V1-ntK0oz35VPQ.mp4 988.8 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/02. 为何是神经网络-zAkzOZntK6Y.mp4 982.3 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.mp4 954.3 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/14. Learning Rate-TwJ8aSZoh2U.mp4 927.0 KB
- Part 04-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.mp4 922.2 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/img.zip 903.1 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.mp4 888.6 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/05. 05 Implementing Constraints Solution V1-uLmGavXEN64.mp4 885.8 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/img.zip 884.3 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/05. Transposed Convolutions-K6mlLX8ZZDs.mp4 870.5 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/07. 07 Quiz Data Challenges V1-F8yc7BlV93c.mp4 862.5 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/09. Local Minima-gF_sW_nY-xw.mp4 819.9 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/img.zip 800.2 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/06. 06 Adding Landmarks Quiz V1-_JUCLtoh1CE.mp4 793.6 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/12. KALMAN QUIZ Predicting The Peak 01 RENDER V1-_fGH3xJMxdM.mp4 768.1 KB
- Part 04-Module 01-Lesson 02_Robot Localization/21. 18 Exact Motion V1-mNXm1wjTumY.mp4 708.6 KB
- Part 04-Module 01-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.mp4 689.0 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/13. KALMAN QUIZ Predicting The Peak 02 RENDER V1-mcwr6FcP2Vc.mp4 677.5 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/08. Remember Gate-0qlm86HaXuU.mp4 676.9 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/img.zip 640.4 KB
- Part 01-Module 01-Lesson 09_Project Facial Keypoint Detection/img.zip 622.9 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/img.zip 620.6 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/07. 07 Adding Landmarks Solution V1-vDfQNdUSclA.mp4 609.7 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.mp4 574.6 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.mp4 569.3 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/10. 10 Untouched Fields QUIZ RENDER V2-V9qbWSqqKwg.mp4 541.0 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/img.zip 540.6 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/02. QUIZ Kalman Filter Prediction 02 RENDER V2-OelWLjfdSyw.mp4 526.0 KB
- Part 04-Module 01-Lesson 02_Robot Localization/10. 11 Normalize Distribution V1-ZGvmFn_u56o.mp4 522.8 KB
- Part 04-Module 01-Lesson 02_Robot Localization/26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.mp4 474.6 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/img.zip 474.2 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.mp4 451.3 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/img.zip 441.8 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/img.zip 434.6 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/18. Images-1GdiN5Wc8LA.mp4 395.4 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/10. Random Restart-idyBBCzXiqg.mp4 395.0 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/img.zip 386.7 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/03. QUIZ Another Prediction 02 RENDER V1-RfzQ5MbVNeQ.mp4 273.6 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/03. QUIZ Another Prediction 01 RENDER V1-wdSkHh-6U4Y.mp4 267.7 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/media.zip 186.9 KB
- index.html 163.5 KB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/img.zip 149.8 KB
- Part 04-Module 01-Lesson 09_Project Landmark Detection _ Tracking (SLAM)/img.zip 142.4 KB
- Part 10-Module 01-Lesson 02_C++ Vectors/img.zip 124.4 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/media.zip 113.3 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/img.zip 67.9 KB
- img.zip 59.2 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/img.zip 26.4 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/11. Inclusion Guards.html 23.5 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.en.vtt 22.9 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.pt-BR.vtt 22.1 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/11. Representing State with Matrices.html 21.1 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/29. Mini Project Dermatologist AI.html 20.7 KB
- Part 03-Module 01-Lesson 03_RNN_s/10. Backpropagation- Example (part b).html 19.7 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/18. Matrices in Python.html 19.3 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/img.zip 19.2 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.zh-CN.vtt 18.6 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.en.vtt 18.5 KB
- Part 03-Module 01-Lesson 03_RNN_s/18. Backpropagation Through Time (part b).html 18.4 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/17. Matrix Functions.html 18.0 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/18. If and Boolean Logic.html 17.9 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/14. Class Function Declarations.html 17.8 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.en.vtt 17.7 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.pt-BR.vtt 17.6 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.en.vtt 17.4 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/19. Instantiate an Object.html 16.8 KB
- Part 03-Module 01-Lesson 08_Project Image Captioning/03. Introduction to GPU Workspaces.html 16.7 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.pt-BR.vtt 16.7 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/23. Matrix Multiplication.html 16.6 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/15. Constructor Functions.html 16.5 KB
- Part 04-Module 01-Lesson 02_Robot Localization/01. Probability Review.html 16.4 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/Project Rubric - Improve Your LinkedIn Profile.html 16.3 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/24. Refresh on Confusion Matrices.html 16.1 KB
- Part 10-Module 01-Lesson 03_Practical C++/04. Structuring Functions and File Organization.html 16.0 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/25. Last Feature Vector and t-SNE.html 16.0 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.zh-CN.vtt 15.8 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.pt-BR.vtt 15.8 KB
- Part 03-Module 01-Lesson 03_RNN_s/09. Backpropagation - Example (part a).html 15.7 KB
- Part 03-Module 01-Lesson 03_RNN_s/06. The Feedforward Process.html 15.7 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.en.vtt 15.6 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/22. Visualizing CNNs (Part 2).html 15.6 KB
- Part 01-Module 01-Lesson 10_Jobs in Computer Vision/01. Jobs in Computer Vision.html 15.3 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/09. Private and Public.html 15.3 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/14. The Integral Area Under a Curve.html 15.3 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/11. Common Errors and Error Messages.html 15.1 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/25. Transpose of a Matrix.html 15.0 KB
- Part 03-Module 01-Lesson 03_RNN_s/19. Backpropagation Through Time (part c).html 14.8 KB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/10. Memory and the CPU.html 14.6 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/02. Python vs. C++.html 14.6 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.zh-CN.vtt 14.6 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/29. Matrix Inverse.html 14.4 KB
- Part 03-Module 01-Lesson 03_RNN_s/23. Some more math.html 14.4 KB
- Part 03-Module 01-Lesson 03_RNN_s/24. RNN Summary.html 14.4 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/21. Matrix Addition.html 14.4 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/06. Practice Using a Class.html 14.2 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/16. Set and Get Functions.html 14.2 KB
- Part 04-Module 01-Lesson 02_Robot Localization/04. Probability Distributions.html 14.1 KB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/04. Embedded Terminal Explanation.html 14.1 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/20. Switch Statement.html 14.1 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/05. Separating Data.html 14.1 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/06. Kinematics.html 14.0 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/21. Mini Project 6 Solution-ji0famK7gOQ.en.vtt 13.9 KB
- Part 10-Module 01-Lesson 03_Practical C++/02. Running Code Locally.html 13.9 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.zh-CN.vtt 13.9 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/14. Vectors in Python.html 13.9 KB
- Part 04-Module 01-Lesson 02_Robot Localization/02. Uncertainty and Bayes_ Rule.html 13.8 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.pt-BR.vtt 13.7 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/22. Analysis What_s Going on in the Weights-UHsT35pbpcE.en.vtt 13.7 KB
- Part 10-Module 02-Lesson 02_C++ Optimization Practice/03. Optimization Techniques.html 13.7 KB
- Part 03-Module 01-Lesson 03_RNN_s/17. Backpropagation Through Time (part a).html 13.6 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/13. Anatomy of a Function.html 13.6 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.pt-BR.vtt 13.5 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/05. A Different Model.html 13.5 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.zh-CN.vtt 13.5 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/21. Libraries.html 13.5 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/26. Occlusion, Saliency, and Guided Backpropagation.html 13.5 KB
- Part 10-Module 02-Lesson 02_C++ Optimization Practice/02. Software Development and Optimization.html 13.4 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/10. Header Files.html 13.4 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/05. Python and C++ Comparison.html 13.3 KB
- Part 03-Module 01-Lesson 03_RNN_s/13. RNN (part b).html 13.3 KB
- Part 10-Module 01-Lesson 03_Practical C++/06. Reading in Text Files.html 13.3 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/04. Using a Class in C++ [Demo].html 13.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/25. Face Recognition and the Dangers of Bias.html 13.0 KB
- Part 03-Module 01-Lesson 03_RNN_s/22. BPTT Quiz 3.html 13.0 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/21. Matrix Multiplication.html 13.0 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/18. Use an Inclusion Guard.html 13.0 KB
- Part 05-Module 01-Lesson 01_Applying Deep Learning Models/01. Style Transfer.html 13.0 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/27. The Identity Matrix.html 12.9 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/29. Project Overview.html 12.9 KB
- Part 04-Module 01-Lesson 02_Robot Localization/08. Probability After Sense.html 12.9 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/08. RNN Hyperparameters.html 12.9 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/19. While and For Loops.html 12.9 KB
- Part 10-Module 01-Lesson 05_Python and C++ Speed/04. Moving in C++.html 12.8 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.en.vtt 12.8 KB
- Part 03-Module 01-Lesson 03_RNN_s/08. Backpropagation- Theory.html 12.7 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/27. Summary of Feature Viz.html 12.7 KB
- Part 03-Module 01-Lesson 02_YOLO/04. CNN _ Sliding Windows .html 12.6 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/22. Analysis What_s Going on in the Weights-UHsT35pbpcE.pt-BR.vtt 12.6 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/04. Interpreting Position vs. Time Graphs.html 12.6 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/10. Differentiation Recap.html 12.5 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/02. Frequency in Images.html 12.4 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/09. Floating versus Double [demonstration].html 12.3 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/03. Computer Vision Pipeline.html 12.3 KB
- Part 10-Module 01-Lesson 02_C++ Vectors/06. Vectors and For Loops.html 12.2 KB
- Part 01-Module 01-Lesson 02_Knowledge, Community, and Careers/02. Knowledge.html 12.2 KB
- Part 03-Module 01-Lesson 03_RNN_s/11. Backpropagation Quiz.html 12.2 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/21. Mini Project 6 Solution-ji0famK7gOQ.pt-BR.vtt 12.2 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/21. Mini Project 6 Solution-ji0famK7gOQ.zh-CN.vtt 12.1 KB
- Part 01-Module 01-Lesson 09_Project Facial Keypoint Detection/Project Rubric - Facial Keypoint Detection.html 12.1 KB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/07. Binary.html 12.1 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/22. Analysis What_s Going on in the Weights-UHsT35pbpcE.zh-CN.vtt 12.1 KB
- Part 10-Module 01-Lesson 02_C++ Vectors/02. Namespaces.html 12.0 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/09. Always Moving.html 12.0 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/04. Quiz Implementing Constraints.html 12.0 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/08. Gradients and Sobel Filters.html 12.0 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/13. Reasoning About Two Peaks.html 12.0 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/07. Review Anatomy of a Class.html 12.0 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/07. Quantifying State.html 11.9 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/26. Beyond Edges, Selecting Different Features.html 11.9 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/06. Defining Layers in PyTorch.html 11.8 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/07. C++ - A Statically Typed Language.html 11.8 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/18. Refresh on ROC Curves.html 11.8 KB
- Part 03-Module 01-Lesson 03_RNN_s/05. Feedforward Neural Network-Reminder.html 11.8 KB
- Part 04-Module 01-Lesson 02_Robot Localization/30. Move Twice.html 11.8 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/01. Localization Steps.html 11.8 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/11. Fully-Connected Layers, VGG-16.html 11.7 KB
- Part 10-Module 01-Lesson 02_C++ Vectors/08. 1D Vector Playground.html 11.7 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/03. Learning Rate-HLMjeDez7ps.en.vtt 11.7 KB
- Part 03-Module 01-Lesson 08_Project Image Captioning/Project Rubric - Image Captioning.html 11.6 KB
- Part 03-Module 01-Lesson 03_RNN_s/03. RNN History.html 11.6 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/21. Labeled Data and Accuracy.html 11.5 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/04. CNN Architecture, VGG-16.html 11.5 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/24. Standardizing Output.html 11.5 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/16. Review Dropout.html 11.4 KB
- Part 10-Module 02-Lesson 02_C++ Optimization Practice/01. Introduction.html 11.4 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/15. More on Sensitivity and Specificity.html 11.3 KB
- Part 10-Module 02-Lesson 02_C++ Optimization Practice/04. Dead Code.html 11.3 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/07. Profile Essentials.html 11.3 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/18. Network Structure.html 11.3 KB
- Part 02-Module 01-Lesson 01_Cloud Computing with Google Cloud/06. gcloud Command Line Tool.html 11.3 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/04. Training a Model.html 11.3 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/01. Get Opportunities with LinkedIn.html 11.2 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/10. Semantic Segmentation and FCN_s.html 11.2 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/14. Coding A Blue Screen-jeeDryFxodk.en.vtt 11.2 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/20. State Transformation Matrix.html 11.1 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/01. Prove Your Skills With GitHub.html 11.1 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/13. Class Variables.html 11.1 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/13. Training in PyTorch.html 11.1 KB
- Part 03-Module 01-Lesson 03_RNN_s/07. Feedforward Quiz.html 11.1 KB
- Part 04-Module 01-Lesson 02_Robot Localization/17. Test Sense Function.html 11.1 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/17. Solution Diagnosing Cancer.html 11.0 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile.html 11.0 KB
- Part 04-Module 01-Lesson 02_Robot Localization/20. Answer Multiple Measurements.html 11.0 KB
- Part 04-Module 01-Lesson 02_Robot Localization/38. C++ Elective _ Implementation.html 11.0 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/03. Neural Network Architecture.html 11.0 KB
- Part 04-Module 01-Lesson 02_Robot Localization/36. Sense and Move 2.html 11.0 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/08. Basic Data Types.html 11.0 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/07. Quiz Variance and Preferred Gaussian.html 11.0 KB
- Part 04-Module 01-Lesson 02_Robot Localization/29. Limit Distribution.html 10.9 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/19. Further Noise Reduction-Kl3hWxizKVg.en.vtt 10.9 KB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/03. Intro to Computer Hardware.html 10.9 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.pt-BR.vtt 10.9 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/05. A Typical Calculus Problem.html 10.9 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/30. Evaluation Metrics.html 10.8 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/09. Faster R-CNN.html 10.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/22. Object Recognition _ Introducing Haar Cascades.html 10.8 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/12. C++ Functions.html 10.8 KB
- Part 04-Module 01-Lesson 02_Robot Localization/10. Normalize Distribution.html 10.8 KB
- Part 04-Module 01-Lesson 02_Robot Localization/37. Localization Summary.html 10.8 KB
- Part 04-Module 01-Lesson 02_Robot Localization/13. Answer Sense Function.html 10.7 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/03. Lesson Outline and Data.html 10.7 KB
- Part 04-Module 01-Lesson 02_Robot Localization/16. Answer Normalized Sense Function.html 10.7 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/14. Convolutional Layer.html 10.7 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.zh-CN.vtt 10.7 KB
- Part 10-Module 02-Lesson 02_C++ Optimization Practice/14. References.html 10.7 KB
- Part 03-Module 01-Lesson 03_RNN_s/01. RNN_s in Computer Vision.html 10.7 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.en.vtt 10.7 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/09. Build and Strengthen Your Network.html 10.6 KB
- Part 03-Module 01-Lesson 03_RNN_s/25. From RNN to LSTM.html 10.6 KB
- Part 04-Module 01-Lesson 02_Robot Localization/11. Sense Function.html 10.6 KB
- Part 04-Module 01-Lesson 02_Robot Localization/14. Normalized Sense Function.html 10.6 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/12. Kalman Equation Reference.html 10.6 KB
- Part 04-Module 01-Lesson 02_Robot Localization/25. Inexact Motion.html 10.6 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/02. Skin Cancer.html 10.6 KB
- Part 10-Module 01-Lesson 02_C++ Vectors/01. C++ Vectors.html 10.6 KB
- Part 04-Module 01-Lesson 02_Robot Localization/18. Multiple Measurements.html 10.5 KB
- Part 04-Module 01-Lesson 02_Robot Localization/24. Answer Move Function.html 10.5 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/17. Overloading Functions.html 10.5 KB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/04. Dilation and Erosion.html 10.5 KB
- Part 04-Module 01-Lesson 02_Robot Localization/28. Answer Inexact Move Function.html 10.5 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/02. Review Training a Neural Network.html 10.5 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.en.vtt 10.5 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/14. Coding a Blue Screen.html 10.5 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/02. Intro to State.html 10.5 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/04. Quiz Predicting State.html 10.4 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/14. FCN-8 Architecture.html 10.4 KB
- Part 04-Module 01-Lesson 02_Robot Localization/22. Move Function.html 10.4 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/22. 1D State Vector and More Multiplication.html 10.4 KB
- Part 04-Module 01-Lesson 02_Robot Localization/21. Exact Motion .html 10.4 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/08. Position, Velocity, and Acceleration.html 10.4 KB
- Part 04-Module 01-Lesson 02_Robot Localization/35. Answer Sense and Move.html 10.4 KB
- Part 04-Module 01-Lesson 02_Robot Localization/26. Inexact Move Function.html 10.4 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/09. Gaussian Function and Maximum.html 10.4 KB
- Part 04-Module 01-Lesson 02_Robot Localization/31. Move 1000.html 10.4 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/03. Motion Models.html 10.4 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/01. Introduction to CNN Layers.html 10.4 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/14. Coding A Blue Screen-jeeDryFxodk.zh-CN.vtt 10.3 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/23. Features.html 10.3 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/05. Backpropagation.html 10.3 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/05. Explanation of the Main.cpp File.html 10.3 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/13. What is a vector.html 10.3 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/03. Learning Rate-HLMjeDez7ps.pt-BR.vtt 10.3 KB
- Part 01-Module 01-Lesson 09_Project Facial Keypoint Detection/02. Workspaces Best Practices.html 10.3 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/28. Classification.html 10.3 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/13. Quiz Sensitivity and Specificity.html 10.3 KB
- Part 03-Module 01-Lesson 03_RNN_s/12. RNN (part a).html 10.3 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/32. Review and the Computer Vision Pipeline.html 10.2 KB
- Part 01-Module 01-Lesson 09_Project Facial Keypoint Detection/01. Project Overview.html 10.2 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/09. Mini Project 2.html 10.2 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/06. How Odometers Work.html 10.2 KB
- Part 04-Module 01-Lesson 09_Project Landmark Detection _ Tracking (SLAM)/Project Rubric - Landmark Detection _ Tracking (SLAM).html 10.2 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/26. Average Brightness.html 10.2 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/19. Day and Night Classification Challenge.html 10.2 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/19. Further Noise Reduction-Kl3hWxizKVg.pt-BR.vtt 10.2 KB
- Part 03-Module 01-Lesson 02_YOLO/11. Quiz IoU and Overlap Limits.html 10.1 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/10. Color Images.html 10.1 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/22. Distinguishing Traits.html 10.1 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/09. Simplifying the Kalman Filter Equations.html 10.1 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/03. Learning Rate-HLMjeDez7ps.zh-CN.vtt 10.1 KB
- Part 04-Module 01-Lesson 02_Robot Localization/06. Total Probability.html 10.1 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/11. Commit messages best practices.html 10.1 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/05. A Note on Notation.html 10.1 KB
- Part 10-Module 02-Lesson 02_C++ Optimization Practice/06. If Statements.html 10.1 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/01. Intro to Pattern Recognition.html 10.1 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/10. Car Object.html 10.0 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/18. Quiz Gaussian Motion.html 10.0 KB
- Part 10-Module 02-Lesson 02_C++ Optimization Practice/17. Static Keyword.html 10.0 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/02. Emotional Intelligence.html 10.0 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/Project Description - Optimize Your GitHub Profile.html 10.0 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/14. Quiz Parameter Update.html 10.0 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/11. Acceleration Basics.html 10.0 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/03. Materials.html 10.0 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/19. Further Noise Reduction-Kl3hWxizKVg.zh-CN.vtt 10.0 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/07. Attention Overview.html 10.0 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name.html 9.9 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/08. Pooling, VGG-16 Architecture.html 9.9 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/05. Convolutional Layers (Part 2)-LX-yVob3c28.en.vtt 9.9 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/05. Gaussian Intro.html 9.9 KB
- Part 10-Module 01-Lesson 03_Practical C++/03. C++ Versions.html 9.9 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/10. Attention Encoder _ Decoder.html 9.9 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/Project Rubric - Optimize Your GitHub Profile.html 9.9 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/27. Useful Resources.html 9.9 KB
- Part 04-Module 01-Lesson 02_Robot Localization/15. Notebook Normalized Sense Function.html 9.8 KB
- Part 04-Module 01-Lesson 02_Robot Localization/09. Notebook Probability After Sense.html 9.8 KB
- Part 04-Module 01-Lesson 02_Robot Localization/19. Notebook Multiple Measurements.html 9.8 KB
- Part 04-Module 01-Lesson 02_Robot Localization/27. Notebook Inexact Move Function.html 9.8 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview.html 9.8 KB
- Part 04-Module 01-Lesson 02_Robot Localization/34. Notebook Sense and Move Cycle.html 9.8 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/11. Color or Grayscale.html 9.8 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/08. Work Experiences _ Accomplishments.html 9.8 KB
- Part 04-Module 01-Lesson 02_Robot Localization/07. Notebook 1D Robot World.html 9.8 KB
- Part 04-Module 01-Lesson 02_Robot Localization/12. Notebook Sense Function.html 9.8 KB
- Part 04-Module 01-Lesson 02_Robot Localization/23. Notebook Move Function.html 9.8 KB
- Part 03-Module 01-Lesson 03_RNN_s/20. BPTT Quiz 1.html 9.8 KB
- Part 04-Module 01-Lesson 02_Robot Localization/32. Notebook Multiple Moves.html 9.8 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/07. Quiz Data Challenges.html 9.8 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/05. Use Your Elevator Pitch on LinkedIn.html 9.8 KB
- Part 03-Module 01-Lesson 03_RNN_s/04. RNN Applications.html 9.7 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/10. Quiz Shifting the Mean.html 9.7 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/19. Quiz ROC Curve.html 9.7 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/10. Quiz Random vs Pre-initialized Weights.html 9.7 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/22. Sensor Strengths and Weaknesses.html 9.7 KB
- Part 02-Module 01-Lesson 01_Cloud Computing with Google Cloud/05. Define a Quota.html 9.7 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/12. Quiz Predicting the Peak.html 9.7 KB
- Part 10-Module 01-Lesson 02_C++ Vectors/09. 2D Vectors.html 9.7 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/05. Transposed Convolutions.html 9.7 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/04. Quiz Fourier Tranform Image.html 9.6 KB
- Part 10-Module 01-Lesson 02_C++ Vectors/04. Initializing Vector Values.html 9.6 KB
- Part 04-Module 01-Lesson 02_Robot Localization/05. Localization.html 9.6 KB
- Part 03-Module 01-Lesson 08_Project Image Captioning/01. Project Overview.html 9.6 KB
- Part 10-Module 01-Lesson 02_C++ Vectors/11. 2D Vector Playground.html 9.6 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/08. Images as Grids of Pixels.html 9.6 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/03. Tracking Intro.html 9.6 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/18. Mini Project 5 Solution-Hv86B_jjWTI.en.vtt 9.5 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/16. Quiz Diagnosing Cancer.html 9.5 KB
- Part 03-Module 01-Lesson 03_RNN_s/15. Unfolded Model Quiz.html 9.5 KB
- Part 10-Module 02-Lesson 03_Project Optimize Histogram Filter/01. Overview.html 9.5 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/07. Let_s Look at Where We Are.html 9.5 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/06. Create Your Profile With SEO In Mind.html 9.5 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/01. Introduction to Odometry.html 9.5 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/02. Encoders and Decoders.html 9.5 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/16. Starring interesting repositories.html 9.5 KB
- Part 02-Module 01-Lesson 01_Cloud Computing with Google Cloud/09. [IMPORTANT] Shutdown your Instance.html 9.4 KB
- Part 03-Module 01-Lesson 03_RNN_s/21. BPTT Quiz 2.html 9.4 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/05. High-pass Filters.html 9.4 KB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/02. Computer Vision in Industry.html 9.4 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/28. Image Classification _ Regression Challenges.html 9.4 KB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/04. Projects and Topics.html 9.4 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/31. Notebook Accuracy and Misclassification.html 9.4 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.pt-BR.vtt 9.4 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/27. Notebook Average Brightness Feature Extraction.html 9.4 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/25. Notebook Standardizing Day and Night Images.html 9.4 KB
- Part 10-Module 01-Lesson 05_Python and C++ Speed/03. Moving in Python.html 9.4 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/10. Reaching Out on LinkedIn.html 9.4 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/20. Notebook Load and Visualize the Data.html 9.4 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/19. Quiz Hough Space.html 9.4 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/01. Filters and Finding Edges.html 9.3 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/12. Notebook Visualizing RGB Channels.html 9.3 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/17. Color Spaces and Transforms.html 9.3 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/18. Notebook Color Conversion.html 9.3 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/20. Mini Project 6.html 9.3 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/01. Kalman Filters and Linear Algebra.html 9.3 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/09. Notebook Images as Numerical Data.html 9.3 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/16. Notebook Green Screen.html 9.3 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/06. Quiz Kernels.html 9.3 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/29. Notebook Classification.html 9.3 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/15. Notebook Blue Screen.html 9.3 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/17. Shape Detection.html 9.3 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/02. Kalman Filter Prediction.html 9.3 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.en.vtt 9.3 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/17. Quiz Introducing Noise.html 9.3 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/12. Mini Project 3.html 9.3 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/06. Quiz Adding Landmarks.html 9.3 KB
- Part 04-Module 01-Lesson 02_Robot Localization/33. Sense and Move.html 9.3 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/03. Another Prediction.html 9.2 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/16. Approximating Integrals with Code.html 9.2 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/10. The Rest of the Lesson.html 9.2 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/03. Plotting Position vs. Time.html 9.2 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/12. Plotting Elevator Acceleration.html 9.2 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/27. Keeping Track of x and y (solution).html 9.2 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/07. Speed from Position Data.html 9.2 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/26. Keeping Track of x and y.html 9.2 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/17. Integrating Accelerometer Data.html 9.2 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/19. Integrating Rate Gyro Data.html 9.2 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/09. Implement an Accelerometer.html 9.2 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/17. Mini Project 5.html 9.2 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/21. Accumulating Errors.html 9.2 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/06. Number of Training Iterations Epochs.html 9.2 KB
- Part 10-Module 02-Lesson 02_C++ Optimization Practice/12. Vector Storage.html 9.1 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/06. AffdexMe Demo.html 9.1 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/07. Notebook Visualizing a Convolutional Layer.html 9.1 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/14. Notebook Fashion MNIST Training Exercise.html 9.1 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/02. Inertial Navigation Sensors.html 9.1 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/24. Notebook Feature Viz for FashionMNIST.html 9.1 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/10. Notebook Visualizing a Pooling Layer.html 9.1 KB
- Part 04-Module 01-Lesson 09_Project Landmark Detection _ Tracking (SLAM)/01. Project Overview.html 9.1 KB
- Part 10-Module 01-Lesson 02_C++ Vectors/07. Math and Vectors.html 9.1 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/17. Guide to Mathematical Notation.html 9.1 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/12. Notebook Visualizing FashionMNIST.html 9.1 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/17. Solution New Mean and Variance.html 9.1 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/17. Notebook FashionMNIST, Solution 2.html 9.1 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/16. Coding Vectors (solution).html 9.1 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/24. Coding Matrix Multiplication.html 9.1 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/15. Notebook FashionMNIST, Solution 1.html 9.1 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/30. Lab - Reconstructing Trajectories.html 9.1 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/30. Coding Matrix Inverse.html 9.1 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/20. Coding Matrices (Solution).html 9.1 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/22. Coding Matrix Addition.html 9.1 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/28. Coding Identity Matrix.html 9.1 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/26. Coding the Transpose.html 9.1 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/08. Answer Variance and Preferred Gaussian.html 9.1 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/23. Summary and Back to Trigonometry.html 9.1 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/06. Image Challenges.html 9.1 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/14. Additive and Multiplicative Attention.html 9.1 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/19. Coding Matrices.html 9.1 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/15. Coding Vectors.html 9.1 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/23. Visualizing Activations.html 9.1 KB
- Part 03-Module 01-Lesson 07_Image Captioning/04. Visualize the Dataset.html 9.0 KB
- Part 10-Module 02-Lesson 02_C++ Optimization Practice/10. Intermediate Variables.html 9.0 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/06. Kalman Filter Design.html 9.0 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/13. Turn Right.html 9.0 KB
- Part 03-Module 01-Lesson 03_RNN_s/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.pt-BR.vtt 9.0 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/18. Rate Gyros.html 9.0 KB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/02. Corner Detectors-jemzDq07MEI.en.vtt 9.0 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/23. Kalman Filter Code.html 9.0 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/04. Answer Tracking Intro.html 9.0 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/28. Conclusion.html 8.9 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/15. Computer Vision Applications.html 8.9 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/08. Fast R-CNN.html 8.9 KB
- Part 01-Module 01-Lesson 10_Jobs in Computer Vision/02. Real-World Applications of Computer Vision.html 8.9 KB
- Part 04-Module 01-Lesson 02_Robot Localization/03. Reducing Uncertainty.html 8.9 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/09. Pooling Layers.html 8.9 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/20. Working with Real Data.html 8.9 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/01. Introduction to SLAM.html 8.9 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/25. Answer 1D Kalman Filter.html 8.9 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/22. Answer Predict Function.html 8.9 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/24. Trigonometry and Vehicle Motion.html 8.9 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/04. More Kalman FIlters.html 8.9 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/07. Mini Project 1 Solution-l4r5l0HvHRI.zh-CN.vtt 8.8 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/14. Multiple Outputs.html 8.8 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/07. Mini Project 1 Solution-l4r5l0HvHRI.en.vtt 8.8 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/25. Solving Trig Problems.html 8.8 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/19. State Vector.html 8.8 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/05. Framing the Problem-IsTOnkAKaJw.en.vtt 8.8 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction.html 8.8 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/20. Predict Function.html 8.8 KB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/07. Community Guidelines.html 8.8 KB
- Part 01-Module 01-Lesson 09_Project Facial Keypoint Detection/Project Description - Facial Keypoint Detection.html 8.8 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/06. Answer Gaussian Intro.html 8.8 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/31. What to Take Away from this Lesson.html 8.8 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/11. Quiz.html 8.8 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/07. Regularization-ndYnUrx8xvs.pt-BR.vtt 8.8 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/05. Motion Vector.html 8.8 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/13. Color Thresholds.html 8.8 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/07. Image Formation.html 8.8 KB
- Part 03-Module 01-Lesson 03_RNN_s/02. RNN Introduction.html 8.8 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/16. Notebook New Mean and Variance.html 8.8 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1.html 8.8 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/02. Use Your Story to Stand Out.html 8.8 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/08. Quick Fixes #2.html 8.7 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/21. Notebook Predict Function.html 8.7 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/24. Notebook 1D Kalman Filter.html 8.7 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/11. Solution Random vs Pre-initialized Weight.html 8.7 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/15. Approximating the Integral.html 8.7 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/08. The Kalman Filter Equations.html 8.7 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/24. Notebook Haar Cascade Face Detection.html 8.7 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/14. Solution Sensitivity and Specificity.html 8.7 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/13. Notebook Fourier Transforms of Filters.html 8.7 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/23. What is the network looking at.html 8.7 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/21. Notebook Hough Detections.html 8.7 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/13. IOU Example.html 8.7 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/18. ROC Curve-2Iw5TiGzJI4.en.vtt 8.7 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/21. First Convolutional Layer.html 8.7 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/03. Notebook Fourier Transforms.html 8.7 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/12. Notebook Gaussian Blur.html 8.6 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/16. Notebook Canny Edge Detection.html 8.6 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/11. Gaussian Blur.html 8.6 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/07. Creating a Filter.html 8.6 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/27. Next Motion Models and State.html 8.6 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/08. Lesson Outline.html 8.6 KB
- Part 04-Module 01-Lesson 09_Project Landmark Detection _ Tracking (SLAM)/Project Description - Landmark Detection _ Tracking (SLAM).html 8.6 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/09. Training the Neural Network.html 8.6 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/09. Notebook Finding Edges.html 8.6 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/19. Feature Visualization.html 8.6 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction.html 8.6 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/03. Elecia White.html 8.6 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/08. Solution Data Challenges.html 8.6 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/01. Kalman Filter Land.html 8.6 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/05. Convolutional Layers (Part 2)-LX-yVob3c28.zh-CN.vtt 8.6 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/12. Validating the Training.html 8.6 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/05. Convolutional Layers.html 8.6 KB
- Part 01-Module 01-Lesson 02_Knowledge, Community, and Careers/03. Student Hub.html 8.6 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/11. Boost Your Visibility.html 8.6 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.zh-CN.vtt 8.6 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/03. Survival Probability of Skin Cancer.html 8.6 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.zh-CN.vtt 8.6 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/02. Quiz Graph SLAM.html 8.6 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/04. Medical Classification.html 8.6 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/20. Solution ROC Curve.html 8.6 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/20. Feature Maps.html 8.6 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/04. Bounding Boxes and Regression.html 8.5 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/16. Color Class.html 8.5 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/12. Reflect on your commit messages.html 8.5 KB
- Part 10-Module 02-Lesson 02_C++ Optimization Practice/08. For Loops.html 8.5 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/15. Canny Edge Detector.html 8.5 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/21. Comparing our Results with Doctors.html 8.5 KB
- Part 03-Module 01-Lesson 02_YOLO/08. Quiz Generating Boxes and Detecting Objects.html 8.5 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/03. Answer Graph SLAM.html 8.5 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/04. Create Your Elevator Pitch.html 8.5 KB
- Part 03-Module 01-Lesson 03_RNN_s/16. RNN- Example.html 8.5 KB
- Part 02-Module 01-Lesson 01_Cloud Computing with Google Cloud/01. Overview.html 8.5 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/25. Confusion Matrix.html 8.5 KB
- Part 03-Module 01-Lesson 03_RNN_s/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.en.vtt 8.5 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/22. Visualization.html 8.5 KB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/09. Access the Career Portal.html 8.5 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/20. Hough Line Detection.html 8.5 KB
- Part 10-Module 01-Lesson 03_Practical C++/07. Outputting to Text Files.html 8.5 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/26. Conclusion.html 8.5 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/15. Answer Parameter Update.html 8.5 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/01. Intro.html 8.5 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/05. The data.html 8.5 KB
- Part 03-Module 01-Lesson 03_RNN_s/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.pt-BR.vtt 8.4 KB
- Part 10-Module 01-Lesson 03_Practical C++/08. Exercises.html 8.4 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/15. Mini Project 4.html 8.4 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/08. Quiz Matrix Modification.html 8.4 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2.html 8.4 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/18. Hough Transform.html 8.4 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/12. Look at the Class Code.html 8.4 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/24. Working with Matrices.html 8.3 KB
- Part 03-Module 01-Lesson 03_RNN_s/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.en.vtt 8.3 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/04. Learning Rate.html 8.3 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/08. Other Facets of C++ Classes.html 8.3 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/19. Answer Gaussian Motion.html 8.3 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/13. Answer Predicting the Peak.html 8.3 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/10. Quiz Untouched Fields.html 8.3 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/05. Framing the Problem-IsTOnkAKaJw.zh-CN.vtt 8.3 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/13. Participating in open source projects.html 8.3 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/11. Answer Shifting the Mean.html 8.3 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/12. 08 Multiplicative Attention V2-1-OwCgrx1eQ.pt-BR.vtt 8.3 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/06. Mini Project 1.html 8.3 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction.html 8.3 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/18. Mini Project 5 Solution-Hv86B_jjWTI.pt-BR.vtt 8.3 KB
- Part 10-Module 01-Lesson 03_Practical C++/01. Introduction to Compilation.html 8.3 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/26. Kalman Prediction.html 8.2 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/05. High-pass Filters-OpcFn_H2V-Q.pt-BR.vtt 8.2 KB
- Part 03-Module 01-Lesson 03_RNN_s/14. RNN- Unfolded Model.html 8.2 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/05. Quiz Loss Values.html 8.2 KB
- Part 02-Module 01-Lesson 01_Cloud Computing with Google Cloud/07. Launch an Instance.html 8.2 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/03. GitHub profile important items.html 8.2 KB
- Part 02-Module 01-Lesson 01_Cloud Computing with Google Cloud/02. Login and Redeem Credits.html 8.2 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.zh-CN.vtt 8.2 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/03. Elective Text Sentiment Analysis.html 8.2 KB
- Part 02-Module 01-Lesson 01_Cloud Computing with Google Cloud/04. Access GPUs.html 8.2 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/09. Writing READMEs with Walter.html 8.2 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/18. Mini Project 5 Solution-Hv86B_jjWTI.zh-CN.vtt 8.2 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/21. Mini Project 6 Solution.html 8.2 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/11. Interacting with a Car Object.html 8.2 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/04. Underfitting And Overfitting-xj4PlXMsN-Y.pt-BR.vtt 8.1 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/Project Description - Improve Your LinkedIn Profile.html 8.1 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/11. Bahdanau and Luong Attention.html 8.1 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/18. Overloading Color Addition.html 8.1 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/15. Instantiate Multiple Cars.html 8.1 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/22. Analysis What_s Going on in the Weights.html 8.1 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/23. Modify Predict State.html 8.1 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/18. ROC Curve-2Iw5TiGzJI4.pt-BR.vtt 8.1 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/02. Introducing PyTorch.html 8.1 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/16. Notebook Including Sensor Measurements.html 8.1 KB
- Part 03-Module 01-Lesson 03_RNN_s/26. Wrap Up.html 8.1 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/04. The Notebooks.html 8.1 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/12. Up Next.html 8.1 KB
- Part 03-Module 01-Lesson 08_Project Image Captioning/Project Description - Image Captioning.html 8.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/23. Haar Cascades.html 8.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/10. Low-pass Filters.html 8.1 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/07. Regularization-ndYnUrx8xvs.en.vtt 8.1 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/17. Next Steps.html 8.1 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/20. Notebook Confident Measurements.html 8.1 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/16. Other Attention Methods.html 8.1 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/02. Introduction.html 8.1 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/13. Notebook Omega and Xi .html 8.0 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/14. Quiz Landmark Position.html 8.0 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/15. Participating in open source projects 2.html 8.0 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/02. Meet Andrew.html 8.0 KB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/02. Corner Detectors.html 8.0 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/07. Mini Project 1 Solution.html 8.0 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/13. Mini Project 3 Solution.html 8.0 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/10. Mini Project 2 Solution.html 8.0 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/18. Mini Project 5 Solution.html 8.0 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/18. Notebook Attention Basics.html 8.0 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/19. [SOLUTION] Attention Basics.html 8.0 KB
- Part 01-Module 01-Lesson 02_Knowledge, Community, and Careers/05. Access the Career Portal.html 8.0 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.pt-BR.vtt 7.9 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/21. SLAM Summary.html 7.9 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/05. Interview with Art - Part 1.html 7.9 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/06. Regularization.html 7.9 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/14. Interview with Art - Part 3.html 7.9 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/10. Interview with Art - Part 2.html 7.9 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/15. Answer Landmark Position.html 7.9 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/16. Understanding Inefficiencies in our Network.html 7.9 KB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/02. Corner Detectors-jemzDq07MEI.zh-CN.vtt 7.9 KB
- Part 03-Module 01-Lesson 07_Image Captioning/08. Tokenizing Words.html 7.9 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/04. Good GitHub repository.html 7.9 KB
- Part 01-Module 01-Lesson 10_Jobs in Computer Vision/03. Access the Career Portal.html 7.9 KB
- Part 03-Module 01-Lesson 03_RNN_s/06. 07 FeedForward B V3-kTYbTVh1d0k.pt-BR.vtt 7.9 KB
- Part 01-Module 01-Lesson 02_Knowledge, Community, and Careers/04. Community Initiatives.html 7.8 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/05. Framing the Problem-IsTOnkAKaJw.pt-BR.vtt 7.8 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.pt-BR.vtt 7.8 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/08. Transforming Text into Numbers.html 7.8 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/07. R-CNN.html 7.8 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/20. Outro.html 7.8 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/14. Understanding Neural Noise.html 7.8 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.en.vtt 7.8 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/01. Intro to LSTM.html 7.8 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/11. Building a Neural Network.html 7.8 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/07. Quick Fixes #1.html 7.8 KB
- Part 05-Module 01-Lesson 01_Applying Deep Learning Models/02. Navegação de tráfico 3-az5ElmV4DhY.en-US.vtt 7.8 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/01. Introducing Andrew Trask.html 7.8 KB
- Part 05-Module 01-Lesson 01_Applying Deep Learning Models/03. Flappy Bird.html 7.7 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/19. Further Noise Reduction.html 7.7 KB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/01. Welcome to the Computer Vision Nanodegree Program.html 7.7 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/17. The Transformer and Self-Attention.html 7.7 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/05. Framing the Problem.html 7.7 KB
- Part 10-Module 02-Lesson 02_C++ Optimization Practice/11. Exercise Intermediate Variables.html 7.7 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/20. Running your Program Locally.html 7.7 KB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/06. Assembly Language.html 7.7 KB
- Part 10-Module 02-Lesson 02_C++ Optimization Practice/15. Exercise References.html 7.7 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/05. Encoding -- Attention Overview.html 7.7 KB
- Part 10-Module 02-Lesson 02_C++ Optimization Practice/05. Exercise Remove Dead Code.html 7.7 KB
- Part 10-Module 02-Lesson 02_C++ Optimization Practice/18. Exercise Static Keyword.html 7.7 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/06. Decoding -- Attention Overview.html 7.7 KB
- Part 10-Module 02-Lesson 02_C++ Optimization Practice/13. Exercise Vector Storage.html 7.7 KB
- Part 10-Module 02-Lesson 02_C++ Optimization Practice/09. Exercise For Loops.html 7.7 KB
- Part 10-Module 02-Lesson 02_C++ Optimization Practice/07. Exercise If Statements.html 7.7 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/04. Sequence to Sequence Recap.html 7.7 KB
- Part 03-Module 01-Lesson 02_YOLO/12. Non-Maximal Suppression.html 7.7 KB
- Part 10-Module 01-Lesson 02_C++ Vectors/05. Vector Methods.html 7.7 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/01. Introduction to Attention.html 7.7 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/12. Implement a Class.html 7.7 KB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/05. Partnership with Industry.html 7.6 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/12. Multiplicative Attention.html 7.6 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/14. Adding Color.html 7.6 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/05. Answer Implementing Constraints.html 7.6 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/01. Corners and Object Detection.html 7.6 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/19. Confident Measurements.html 7.6 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/18. Answer Introducing Noise.html 7.6 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/13. Additive Attention.html 7.6 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/09. Answer Matrix Modification.html 7.6 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/11. Answer Untouched Fields.html 7.6 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/09. Attention Decoder.html 7.6 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/12. 08 Multiplicative Attention V2-1-OwCgrx1eQ.en.vtt 7.6 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/06. Region Proposals.html 7.6 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/07. Mini Project 1 Solution-l4r5l0HvHRI.pt-BR.vtt 7.6 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/07. Answer Adding Landmarks.html 7.6 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/06. Quiz FAST Keypoints.html 7.6 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/08. Attention Encoder.html 7.6 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/23. Conclusion.html 7.6 KB
- Part 05-Module 01-Lesson 01_Applying Deep Learning Models/02. Navegação de tráfico 3-az5ElmV4DhY.pt-BR.vtt 7.6 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/09. The Use Gate.html 7.6 KB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/05. Image Segmentation.html 7.6 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/12. Quiz Omega and Xi.html 7.6 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/05. High-pass Filters-OpcFn_H2V-Q.en.vtt 7.6 KB
- Part 03-Module 01-Lesson 03_RNN_s/06. 07 FeedForward B V3-kTYbTVh1d0k.en.vtt 7.6 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/06. The Learn Gate.html 7.5 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/09. RNN Hyperparameters.html 7.5 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/17. Color Spaces and Transforms-B350aJVSsFc.en.vtt 7.5 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/04. Underfitting And Overfitting-xj4PlXMsN-Y.en.vtt 7.5 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/05. Backpropagation V2-1SmY3TZTyUk.ja-JP.vtt 7.5 KB
- Part 10-Module 01-Lesson 03_Practical C++/05. Input and Output.html 7.5 KB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/03. Notebook Find the Corners.html 7.5 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/09. Loading Data Sets with Torchvision.html 7.5 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/06. Static vs Dynamic Typing.html 7.5 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/05. Notebook LSTM Structure and Hidden State, PyTorch.html 7.5 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/06. Fashion-MNIST Exercise.html 7.4 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/07. The Forget Gate.html 7.4 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why use Object Oriented Programming.html 7.4 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Inference _ Validation.html 7.4 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/12. Notebook LSTM for Part of Speech Tagging.html 7.4 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/10. Doubles are Bigger.html 7.4 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/14. Sequence Batching.html 7.4 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/10. Transfer Learning.html 7.4 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Training Networks.html 7.4 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/15. Notebook Character-Level LSTM.html 7.4 KB
- Part 10-Module 01-Lesson 05_Python and C++ Speed/05. Comparing Speeds.html 7.4 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Defining Networks.html 7.4 KB
- Part 05-Module 01-Lesson 01_Applying Deep Learning Models/02. Navegação de tráfico 3-az5ElmV4DhY.zh-CN.vtt 7.4 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/03. PyTorch Tensors.html 7.4 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/03. Why Use an Elevator Pitch.html 7.4 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/01. Introduction.html 7.4 KB
- Part 10-Module 01-Lesson 02_C++ Vectors/10. 2D Vectors and For Loops.html 7.4 KB
- Part 02-Module 01-Lesson 01_Cloud Computing with Google Cloud/03. Create a Project.html 7.4 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/08. Saving and Loading Trained Networks.html 7.4 KB
- Part 05-Module 01-Lesson 01_Applying Deep Learning Models/02. Navegação de tráfico 3-az5ElmV4DhY.en.vtt 7.3 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/13. Character-Level RNN.html 7.3 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/10. Sources _ References.html 7.3 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/04. Feedforward.html 7.3 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/04. Why C++.html 7.3 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/08. The Remember Gate.html 7.3 KB
- Part 03-Module 01-Lesson 07_Image Captioning/09. RNN Training.html 7.3 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/22. Forge on!.html 7.3 KB
- Part 03-Module 01-Lesson 02_YOLO/14. YOLO Algorithm.html 7.3 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/18. ROC Curve-2Iw5TiGzJI4.zh-CN.vtt 7.3 KB
- Part 01-Module 01-Lesson 02_Knowledge, Community, and Careers/01. Getting Help.html 7.3 KB
- Part 03-Module 01-Lesson 08_Project Image Captioning/02. LSTM InputsOutputs.html 7.3 KB
- Part 02-Module 01-Lesson 01_Cloud Computing with Google Cloud/08. Login to the Instance.html 7.3 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/07. Number of Hidden Units Layers.html 7.3 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/12. Other Activation Functions.html 7.3 KB
- Part 03-Module 01-Lesson 02_YOLO/13. Anchor Boxes.html 7.2 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/14. Notebook Implementing HOG.html 7.2 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/09. Notebook Image Pyramids.html 7.2 KB
- Part 10-Module 01-Lesson 02_C++ Vectors/03. Python Lists vs. C++ Vectors.html 7.2 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/05. Backpropagation V2-1SmY3TZTyUk.en.vtt 7.2 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/12. Notebook Implementing ORB.html 7.2 KB
- Part 03-Module 01-Lesson 02_YOLO/15. Notebook YOLO Implementation.html 7.2 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/13. HOG.html 7.2 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/16. Other architectures.html 7.2 KB
- Part 03-Module 01-Lesson 03_RNN_s/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.zh-CN.vtt 7.2 KB
- Part 04-Module 01-Lesson 02_Robot Localization/index.html 7.2 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/05. Backpropagation V2-1SmY3TZTyUk.pt-BR.vtt 7.2 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/08. Tracking Features.html 7.2 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/03. Classification and Localization.html 7.1 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/06. Brightness Constancy Assumption.html 7.1 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.ja-JP.vtt 7.1 KB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/06. Learning in the Classroom.html 7.1 KB
- Part 03-Module 01-Lesson 02_YOLO/07. Generating Bounding Boxes.html 7.0 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/13. Batch vs Stochastic Gradient Descent.html 7.0 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/04. Architecture of LSTM.html 7.0 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/10. Putting it All Together.html 7.0 KB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/07. Notebook Find Contours and Features.html 7.0 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/08. Images as Grids of Pixels-RVNiaZuv6Ss.en.vtt 7.0 KB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/08. Solution Find Contours and Features.html 7.0 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/07. Regularization-ndYnUrx8xvs.zh-CN.vtt 7.0 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/04. Overfitting and Underfitting.html 7.0 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/15. Learning to Find Features.html 6.9 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/03. Basics of LSTM.html 6.9 KB
- Part 03-Module 01-Lesson 02_YOLO/03. Sliding Windows, Revisited.html 6.9 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/02. Why Fully Convolutional Networks (FCNs) .html 6.9 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/02. RNN vs LSTM.html 6.9 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/03. Learning Rate.html 6.9 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/02. Training Optimization.html 6.9 KB
- Part 05-Module 01-Lesson 01_Applying Deep Learning Models/02. DeepTraffic.html 6.9 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/11. Vanishing Gradient.html 6.9 KB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/09. Demo Binary Floats.html 6.9 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/01. Instructor.html 6.9 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/05. Early Stopping.html 6.9 KB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/05. Demo Machine Code.html 6.9 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/index.html 6.9 KB
- Part 10-Module 02-Lesson 02_C++ Optimization Practice/19. Speed Challenge.html 6.9 KB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/11. Demo Stack vs Heap.html 6.9 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/16. Error Functions Around the World.html 6.9 KB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/08. Demo Binary.html 6.9 KB
- Part 03-Module 01-Lesson 02_YOLO/10. Intersection over Union (IoU).html 6.9 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/17. Color Spaces and Transforms-B350aJVSsFc.zh-CN.vtt 6.9 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/04. Fully Connected to 1x1 Convolution.html 6.9 KB
- Part 10-Module 02-Lesson 02_C++ Optimization Practice/16. Sebastian_s Synchronization Story.html 6.9 KB
- Part 10-Module 02-Lesson 03_Project Optimize Histogram Filter/05. Project Solution.html 6.9 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/10. Random Restart.html 6.9 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/14. Learning Rate Decay.html 6.9 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/07. Regularization 2.html 6.8 KB
- Part 03-Module 01-Lesson 02_YOLO/05. Using a Grid.html 6.8 KB
- Part 03-Module 01-Lesson 03_RNN_s/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.zh-CN.vtt 6.8 KB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/06. Image Contours.html 6.8 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/03. Fully Convolutional Networks.html 6.8 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/09. Local Minima.html 6.8 KB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/11. Notebook K-means Clustering.html 6.8 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/01. 01 Introduction To Attention V2-NCn97L5WbCY.pt-BR.vtt 6.8 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/15. Momentum.html 6.8 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/03. Testing.html 6.8 KB
- Part 03-Module 01-Lesson 02_YOLO/06. Training on a Grid.html 6.8 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/index.html 6.8 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/08. Dropout.html 6.8 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/09. Semantic Segmentation.html 6.8 KB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/10. K-means Implementation.html 6.8 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/11. Transfer Learning Solution.html 6.8 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/08. Scale and Rotation Invariance.html 6.8 KB
- Part 03-Module 01-Lesson 02_YOLO/09. Too Many Boxes.html 6.8 KB
- Part 03-Module 01-Lesson 02_YOLO/01. Introduction to YOLO.html 6.8 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/03. Real-Time Feature Detection.html 6.8 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.pt-BR.vtt 6.8 KB
- Part 03-Module 01-Lesson 02_YOLO/02. YOLO Output.html 6.8 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/15. 10 Computer Vision Applications V3-bhWwc4BYTYc.pt-BR.vtt 6.8 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/11. Scene Understanding.html 6.7 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/06. Skip Connections.html 6.7 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/07. FCNs In The Wild.html 6.7 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/index.html 6.7 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/08. Bounding Boxes.html 6.7 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/11. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.pt-BR.vtt 6.7 KB
- Part 03-Module 01-Lesson 03_RNN_s/06. 07 FeedForward B V3-kTYbTVh1d0k.zh-CN.vtt 6.7 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/04. Introduction to ORB.html 6.7 KB
- Part 03-Module 01-Lesson 07_Image Captioning/11. On to the Project!.html 6.7 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/11. ORB in Video.html 6.7 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/10. Feature Matching.html 6.7 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/01. Intro.html 6.7 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/index.html 6.7 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/02. Feature Vectors.html 6.7 KB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/08. Moving Forward!.html 6.7 KB
- Part 03-Module 01-Lesson 03_RNN_s/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.pt-BR.vtt 6.6 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/12. IoU.html 6.6 KB
- Part 10-Module 02-Lesson 03_Project Optimize Histogram Filter/04. GCC Flags.html 6.6 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/index.html 6.6 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/07. BRIEF.html 6.6 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/05. FAST.html 6.6 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/05. Minibatch Size.html 6.6 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/07. Notebook Optical Flow and Motion Vectors.html 6.6 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/08. 05 Scale And RotationInvariance V2-2k3T6rfjvx0.en.vtt 6.6 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/01. Instructor.html 6.6 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/05. High-pass Filters-OpcFn_H2V-Q.zh-CN.vtt 6.6 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/01. Introducing Jay.html 6.6 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/15. Outro.html 6.5 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/04. Underfitting And Overfitting-xj4PlXMsN-Y.zh-CN.vtt 6.5 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.pt-BR.vtt 6.5 KB
- Part 05-Module 01-Lesson 01_Applying Deep Learning Models/04. Books to Read.html 6.5 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/15. 10 Computer Vision Applications V3-bhWwc4BYTYc.en.vtt 6.5 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/17. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.en.vtt 6.5 KB
- Part 03-Module 01-Lesson 08_Project Image Captioning/04. [submit from here] Project Image Captioning, PyTorch 0.4.html 6.4 KB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/09. K-means Clustering-Cf_LSDCEBzk.en.vtt 6.4 KB
- Part 03-Module 01-Lesson 07_Image Captioning/03. Captions and the COCO Dataset.html 6.4 KB
- Part 03-Module 01-Lesson 07_Image Captioning/02. Leveraging Neural Networks.html 6.4 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/01. CNN_s and Scene Understanding.html 6.4 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/index.html 6.4 KB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/09. K-means Clustering.html 6.4 KB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/02. Empathize with the Computer.html 6.4 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/05. Backpropagation V2-1SmY3TZTyUk.zh-CN.vtt 6.4 KB
- Part 10-Module 01-Lesson 05_Python and C++ Speed/02. Executing the Move Function.html 6.4 KB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/01. Course Introduction.html 6.4 KB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/01. Types of Features.html 6.4 KB
- Part 03-Module 01-Lesson 07_Image Captioning/01. Introduction to Image Captioning.html 6.4 KB
- Part 04-Module 01-Lesson 02_Robot Localization/06. 05 Total Probability V4-RCEieE2t8U4.en.vtt 6.4 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/12. 08 Multiplicative Attention V2-1-OwCgrx1eQ.zh-CN.vtt 6.4 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/17. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.pt-BR.vtt 6.4 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/index.html 6.4 KB
- Part 03-Module 01-Lesson 07_Image Captioning/07. Tokenizing Captions.html 6.4 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/02. More than Classification.html 6.3 KB
- Part 03-Module 01-Lesson 07_Image Captioning/10. Video Captioning.html 6.3 KB
- Part 03-Module 01-Lesson 07_Image Captioning/06. The Glue, Feature Vector.html 6.3 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/02. Meet Chris-0ccflD9x5WU.ar.vtt 6.3 KB
- Part 03-Module 01-Lesson 07_Image Captioning/05. CNN-RNN Model.html 6.3 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/11. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.en.vtt 6.3 KB
- Part 04-Module 01-Lesson 09_Project Landmark Detection _ Tracking (SLAM)/02. Project Landmark Detection _ Tracking (SLAM).html 6.3 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/08. Images as Grids of Pixels-RVNiaZuv6Ss.zh-CN.vtt 6.3 KB
- Part 10-Module 01-Lesson 02_C++ Vectors/12. Next Lesson.html 6.3 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/02. Introduction.html 6.3 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/10. Detection With and Without Proposals.html 6.3 KB
- Part 01-Module 01-Lesson 09_Project Facial Keypoint Detection/03. Project Facial Keypoint Detection.html 6.3 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/16. 11 Other Attention Methods V2-VmsR9FVpQiM.pt-BR.vtt 6.3 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.ja-JP.vtt 6.3 KB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/03. Course Outline.html 6.2 KB
- Part 10-Module 02-Lesson 03_Project Optimize Histogram Filter/03. Project Code.html 6.2 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/01. 01 Introduction To Attention V2-NCn97L5WbCY.en.vtt 6.2 KB
- Part 03-Module 01-Lesson 03_RNN_s/24. RNN Summary-nXP0oGGRrO8.pt-BR.vtt 6.2 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.ja-JP.vtt 6.2 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt 6.2 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt 6.2 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.es-ES.vtt 6.2 KB
- Part 04-Module 01-Lesson 03_Mini-project 2D Histogram Filter/02. Notebook - Two Dimensional Histogram Filter.html 6.1 KB
- Part 01-Module 01-Lesson 03_Get Help with Your Account/01. FAQ.html 6.1 KB
- Part 10-Module 02-Lesson 03_Project Optimize Histogram Filter/06. Solution Code.html 6.1 KB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.en.vtt 6.1 KB
- Part 03-Module 01-Lesson 03_RNN_s/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.pt-BR.vtt 6.1 KB
- Part 03-Module 01-Lesson 03_RNN_s/index.html 6.1 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/01. Object Tracking.html 6.0 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/07. 04 Brief V4-EKIPEPpRciw.en.vtt 6.0 KB
- Part 10-Module 02-Lesson 03_Project Optimize Histogram Filter/02. Project Walk Through.html 6.0 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/02. Localization Intro.html 6.0 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/02. Why Neural Networks.html 6.0 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/04. Optical Flow.html 5.9 KB
- Part 03-Module 01-Lesson 03_RNN_s/13. 16 RNN B V4 Final-wsif3p5t7CI.pt-BR.vtt 5.9 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/01. Instructor.html 5.9 KB
- Part 04-Module 01-Lesson 03_Mini-project 2D Histogram Filter/01. Project Overview.html 5.9 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/03. Motion.html 5.9 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/07. Creating a Filter-VEsdTRBH3D8.en.vtt 5.9 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/index.html 5.9 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/index.html 5.9 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/index.html 5.9 KB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/12. Outro.html 5.9 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/index.html 5.9 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/16. 11 Other Attention Methods V2-VmsR9FVpQiM.en.vtt 5.8 KB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/09. K-means Clustering-Cf_LSDCEBzk.zh-CN.vtt 5.8 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/index.html 5.8 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/03. Combinando modelos-Boy3zHVrWB4.ja-JP.vtt 5.8 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/09. Pooling Layers-OkkIZNs7Cyc.pt-BR.vtt 5.8 KB
- Part 03-Module 01-Lesson 03_RNN_s/12. 14 RNN A V4 Final-ofbnDxGSUcg.pt-BR.vtt 5.8 KB
- Part 03-Module 01-Lesson 03_RNN_s/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.en.vtt 5.8 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.en.vtt 5.8 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/26. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.en.vtt 5.7 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/index.html 5.7 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/02. 03 Graph SLAM Quiz V2-OGBC9HrVqd4.en.vtt 5.7 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/24. Confusion Matrix-Question 1-9GLNjmMUB_4.en.vtt 5.7 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/index.html 5.7 KB
- Part 03-Module 01-Lesson 03_RNN_s/06. 06 FeedForward A V7 Final-4rCfnWbx8-0.pt-BR.vtt 5.7 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/15. 10 Computer Vision Applications V3-bhWwc4BYTYc.zh-CN.vtt 5.7 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/30. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.en.vtt 5.6 KB
- Part 03-Module 01-Lesson 03_RNN_s/12. 14 RNN A V4 Final-ofbnDxGSUcg.en.vtt 5.6 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/04. More Kalman Filters RENDER V2-5QYGm4D9z6Y.en.vtt 5.6 KB
- Part 10-Module 01-Lesson 05_Python and C++ Speed/01. Introduction.html 5.6 KB
- Part 01-Module 01-Lesson 03_Get Help with Your Account/02. Support.html 5.6 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/15. Canny Edge Detection-Nm1H2xMMS3I.en.vtt 5.6 KB
- Part 03-Module 01-Lesson 03_RNN_s/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.en.vtt 5.6 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/02. Meet Chris-0ccflD9x5WU.ja-JP.vtt 5.6 KB
- Part 03-Module 01-Lesson 03_RNN_s/24. RNN Summary-nXP0oGGRrO8.en.vtt 5.6 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/08. 05 Scale And RotationInvariance V2-2k3T6rfjvx0.zh-CN.vtt 5.6 KB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.zh-CN.vtt 5.6 KB
- Part 10-Module 02-Lesson 02_C++ Optimization Practice/index.html 5.5 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/05. Model Complexity Graph-NnS0FJyVcDQ.pt-BR.vtt 5.5 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/24. Confusion Matrix-Question 1-9GLNjmMUB_4.en-US.vtt 5.5 KB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.en.vtt 5.5 KB
- Part 04-Module 01-Lesson 03_Mini-project 2D Histogram Filter/03. Testing on Your Own.html 5.5 KB
- Part 03-Module 01-Lesson 03_RNN_s/16. 18 RNN Example V5 Final-MDLk3fhpTx0.pt-BR.vtt 5.5 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/02. Architecture encoder decoder-dkHdEAJnV_w.en.vtt 5.4 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/17. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.zh-CN.vtt 5.4 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/index.html 5.4 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/02. Andrew Trask - Intro-da1I0mea1jQ.en-US.vtt 5.4 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/01. 01 Introduction To Attention V2-NCn97L5WbCY.zh-CN.vtt 5.4 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/14. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.en.vtt 5.4 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/09. Pooling Layers-OkkIZNs7Cyc.en.vtt 5.4 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/11. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.zh-CN.vtt 5.4 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/05. Minibatch Size-GrrO1NFxaW8.en.vtt 5.4 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.zh-CN.vtt 5.4 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/index.html 5.4 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.zh-CN.vtt 5.3 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.ar.vtt 5.3 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/05. Model Complexity Graph-NnS0FJyVcDQ.en.vtt 5.3 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/index.html 5.3 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/07. 04 Brief V4-EKIPEPpRciw.zh-CN.vtt 5.3 KB
- Part 03-Module 01-Lesson 03_RNN_s/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.zh-CN.vtt 5.3 KB
- Part 03-Module 01-Lesson 03_RNN_s/13. 16 RNN B V4 Final-wsif3p5t7CI.en.vtt 5.3 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/03. Combinando modelos-Boy3zHVrWB4.pt-BR.vtt 5.3 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/03. Combinando modelos-Boy3zHVrWB4.en.vtt 5.3 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/07. Creating a Filter-VEsdTRBH3D8.zh-CN.vtt 5.3 KB
- Part 04-Module 01-Lesson 02_Robot Localization/06. 05 Total Probability V4-RCEieE2t8U4.zh-CN.vtt 5.2 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/index.html 5.2 KB
- Part 03-Module 01-Lesson 02_YOLO/index.html 5.2 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/03. LSTM Basics-gjb68a4XsqE.en.vtt 5.2 KB
- Part 03-Module 01-Lesson 03_RNN_s/06. 06 FeedForward A V7 Final-4rCfnWbx8-0.en.vtt 5.2 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/index.html 5.2 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/01. Why Network-exjEm9Paszk.ar.vtt 5.1 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.ar.vtt 5.1 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/16. 11 Other Attention Methods V2-VmsR9FVpQiM.zh-CN.vtt 5.1 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/10. Mini Project 2 Solution-45ihpPaeO8E.en.vtt 5.1 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/13. Histogram of Oriented Gradients-dqe9zGtxoNM.en.vtt 5.1 KB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/06. Image Contours-Wcbrl7Wr_kU.en.vtt 5.1 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/03. LSTM Basics-gjb68a4XsqE.pt-BR.vtt 5.1 KB
- Part 03-Module 01-Lesson 03_RNN_s/12. 14 RNN A V4 Final-ofbnDxGSUcg.zh-CN.vtt 5.1 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/26. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.zh-CN.vtt 5.1 KB
- Part 03-Module 01-Lesson 03_RNN_s/16. 18 RNN Example V5 Final-MDLk3fhpTx0.en.vtt 5.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/15. Canny Edge Detection-Nm1H2xMMS3I.zh-CN.vtt 5.0 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.zh-CN.vtt 5.0 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/08. Transforming Text into Numbers-7rHBU5cbePE.en.vtt 5.0 KB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/index.html 5.0 KB
- Part 03-Module 01-Lesson 02_YOLO/03. 03 A Convolutional Approach To Sliding Windows V3-8qYqqibIz90.en.vtt 5.0 KB
- Part 03-Module 01-Lesson 03_RNN_s/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.zh-CN.vtt 5.0 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/24. Confusion Matrix-Question 1-9GLNjmMUB_4.zh-CN.vtt 5.0 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/index.html 5.0 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/21. Labeled Data and Accuracy-FN96OM_JGyM.en.vtt 5.0 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/02. Andrew Trask - Intro-da1I0mea1jQ.zh-CN.vtt 4.9 KB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/index.html 4.9 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/02. Architecture encoder decoder-dkHdEAJnV_w.pt-BR.vtt 4.9 KB
- Part 03-Module 01-Lesson 07_Image Captioning/index.html 4.9 KB
- Part 10-Module 01-Lesson 02_C++ Vectors/index.html 4.9 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/04. Nd113 C6 L1 09 L Interpreting Position Vs Time Graphs V3-NAEasXHN_PU.en.vtt 4.9 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/02. Meet Chris-0ccflD9x5WU.en.vtt 4.9 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/30. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.zh-CN.vtt 4.9 KB
- Part 03-Module 01-Lesson 03_RNN_s/24. RNN Summary-nXP0oGGRrO8.zh-CN.vtt 4.9 KB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/10. K-means Implementation-poKlg-aB4rU.en.vtt 4.9 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/02. 03 Graph SLAM Quiz V2-OGBC9HrVqd4.zh-CN.vtt 4.9 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.ja.vtt 4.9 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/index.html 4.9 KB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/index.html 4.8 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/02. Architecture encoder decoder-dkHdEAJnV_w.zh-CN.vtt 4.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/10. Low-pass Filters-jy5Be9vf2rk.en.vtt 4.8 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/index.html 4.8 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/21. 18 Implementing SLAM QUIZ RENDER V1-Ptx33qEaUQQ.en.vtt 4.8 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/04. More Kalman Filters RENDER V2-5QYGm4D9z6Y.zh-CN.vtt 4.8 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/05. Minibatch Size-GrrO1NFxaW8.pt-BR.vtt 4.8 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/05. Minibatch Size-GrrO1NFxaW8.zh-CN.vtt 4.8 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/24. Confusion Matrix-Question 1-9GLNjmMUB_4.pt-BR.vtt 4.8 KB
- Part 02-Module 01-Lesson 01_Cloud Computing with Google Cloud/index.html 4.8 KB
- Part 03-Module 01-Lesson 03_RNN_s/02. 01 RNN Intro V6 Final-AIQEqg6F38A.pt-BR.vtt 4.8 KB
- Part 10-Module 01-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.en.vtt 4.7 KB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.zh-CN.vtt 4.7 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/10. Car Object-SnfhGZ76h7Y.en.vtt 4.7 KB
- Part 03-Module 01-Lesson 02_YOLO/13. 10 Anchor Boxes V3-IzILYgVb76g.en.vtt 4.7 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.ja-JP.vtt 4.7 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/02. RNN Vs LSTM-70MgF-IwAr8.en.vtt 4.7 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/16. Dropout-Ty6K6YiGdBs.en.vtt 4.7 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/08. Dropout-Ty6K6YiGdBs.en.vtt 4.7 KB
- Part 03-Module 01-Lesson 03_RNN_s/18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.pt-BR.vtt 4.7 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/14. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.zh-CN.vtt 4.7 KB
- Part 10-Module 01-Lesson 03_Practical C++/index.html 4.7 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/16. Dropout-Ty6K6YiGdBs.pt-BR.vtt 4.7 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/08. Dropout-Ty6K6YiGdBs.pt-BR.vtt 4.7 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/index.html 4.7 KB
- Part 03-Module 01-Lesson 03_RNN_s/05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.pt-BR.vtt 4.6 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/05. Model Complexity Graph-NnS0FJyVcDQ.zh-CN.vtt 4.6 KB
- Part 03-Module 01-Lesson 08_Project Image Captioning/index.html 4.6 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/03. Combinando modelos-Boy3zHVrWB4.zh-CN.vtt 4.6 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt 4.6 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/09. Pooling Layers-OkkIZNs7Cyc.zh-CN.vtt 4.6 KB
- Part 03-Module 01-Lesson 03_RNN_s/16. 18 RNN Example V5 Final-MDLk3fhpTx0.zh-CN.vtt 4.6 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.pt-BR.vtt 4.6 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/13. 09 Additive Attention V2-93VfVWZ-IvY.en.vtt 4.6 KB
- Part 03-Module 01-Lesson 03_RNN_s/13. 16 RNN B V4 Final-wsif3p5t7CI.zh-CN.vtt 4.6 KB
- Part 04-Module 01-Lesson 09_Project Landmark Detection _ Tracking (SLAM)/index.html 4.6 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.ar.vtt 4.6 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/03. LSTM Basics-gjb68a4XsqE.zh-CN.vtt 4.6 KB
- Part 01-Module 01-Lesson 09_Project Facial Keypoint Detection/index.html 4.6 KB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/06. Image Contours-Wcbrl7Wr_kU.zh-CN.vtt 4.6 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.pt-BR.vtt 4.6 KB
- Part 03-Module 01-Lesson 03_RNN_s/09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.pt-BR.vtt 4.6 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/10. Mini Project 2 Solution-45ihpPaeO8E.zh-CN.vtt 4.6 KB
- Part 03-Module 01-Lesson 03_RNN_s/05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.en.vtt 4.5 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/13. 09 Additive Attention V2-93VfVWZ-IvY.pt-BR.vtt 4.5 KB
- Part 03-Module 01-Lesson 03_RNN_s/06. 06 FeedForward A V7 Final-4rCfnWbx8-0.zh-CN.vtt 4.5 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/02. Meet Chris-0ccflD9x5WU.es-MX.vtt 4.5 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/13. Histogram of Oriented Gradients-dqe9zGtxoNM.zh-CN.vtt 4.5 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/02. Meet Chris-0ccflD9x5WU.pt-BR.vtt 4.5 KB
- Part 03-Module 01-Lesson 02_YOLO/03. 03 A Convolutional Approach To Sliding Windows V3-8qYqqibIz90.zh-CN.vtt 4.5 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/10. 07 Feature Matching V2-RH05Wnl1-2A.en.vtt 4.5 KB
- Part 10-Module 02-Lesson 03_Project Optimize Histogram Filter/index.html 4.5 KB
- Part 03-Module 01-Lesson 03_RNN_s/02. 01 RNN Intro V6 Final-AIQEqg6F38A.en.vtt 4.5 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/10. Car Object-SnfhGZ76h7Y.zh-CN.vtt 4.5 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/index.html 4.4 KB
- Part 01-Module 01-Lesson 02_Knowledge, Community, and Careers/index.html 4.4 KB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/10. K-means Implementation-poKlg-aB4rU.zh-CN.vtt 4.4 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/02. Meet Chris-0ccflD9x5WU.zh-CN.vtt 4.4 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/21. Labeled Data and Accuracy-FN96OM_JGyM.zh-CN.vtt 4.4 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/04. 04 Bounding Boxes And Regression V1 RENDER V3-2YM82c7SaCo.en.vtt 4.4 KB
- Part 03-Module 01-Lesson 03_RNN_s/18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.en.vtt 4.4 KB
- Part 10-Module 01-Lesson 05_Python and C++ Speed/index.html 4.4 KB
- Part 03-Module 01-Lesson 03_RNN_s/09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.en.vtt 4.4 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.ja-JP.vtt 4.3 KB
- Part 04-Module 01-Lesson 03_Mini-project 2D Histogram Filter/index.html 4.3 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/05. 03 Fast V3-DCHAc6fjcVM.en.vtt 4.3 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/08. Transforming Text into Numbers-7rHBU5cbePE.zh-CN.vtt 4.3 KB
- Part 01-Module 01-Lesson 10_Jobs in Computer Vision/index.html 4.3 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/01. Why Network-exjEm9Paszk.ja-JP.vtt 4.3 KB
- Part 03-Module 01-Lesson 03_RNN_s/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.pt-BR.vtt 4.3 KB
- Part 05-Module 01-Lesson 01_Applying Deep Learning Models/index.html 4.3 KB
- Part 10-Module 01-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.zh-CN.vtt 4.3 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/04. Nd113 C6 L1 09 L Interpreting Position Vs Time Graphs V3-NAEasXHN_PU.zh-CN.vtt 4.3 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.ja-JP.vtt 4.3 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/04. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.pt-BR.vtt 4.3 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/08. Transforming Text into Numbers-7rHBU5cbePE.pt-BR.vtt 4.2 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/03. 03 Classification And Localization RENDER V3-UqNg9d6cKQU.en.vtt 4.2 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/02. RNN Vs LSTM-70MgF-IwAr8.pt-BR.vtt 4.2 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/02. RNN Vs LSTM-70MgF-IwAr8.zh-CN.vtt 4.2 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/10. Low-pass Filters-jy5Be9vf2rk.zh-CN.vtt 4.2 KB
- Part 01-Module 01-Lesson 03_Get Help with Your Account/index.html 4.1 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/09. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.en.vtt 4.1 KB
- Part 03-Module 01-Lesson 02_YOLO/13. 10 Anchor Boxes V3-IzILYgVb76g.zh-CN.vtt 4.1 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.zh-CN.vtt 4.1 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.en.vtt 4.1 KB
- Part 03-Module 01-Lesson 07_Image Captioning/09. 07 RNN Training V4-P-tHxD7kRmA.en.vtt 4.1 KB
- Part 03-Module 01-Lesson 03_RNN_s/03. 02 RNN History V4 Final-HbxAnYUfRnc.pt-BR.vtt 4.1 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/16. Dropout-Ty6K6YiGdBs.zh-CN.vtt 4.1 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/08. Dropout-Ty6K6YiGdBs.zh-CN.vtt 4.1 KB
- Part 03-Module 01-Lesson 03_RNN_s/02. 01 RNN Intro V6 Final-AIQEqg6F38A.zh-CN.vtt 4.1 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/21. 18 Implementing SLAM QUIZ RENDER V1-Ptx33qEaUQQ.zh-CN.vtt 4.0 KB
- Part 03-Module 01-Lesson 03_RNN_s/05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.zh-CN.vtt 4.0 KB
- Part 03-Module 01-Lesson 03_RNN_s/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.en.vtt 4.0 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/19. 17 Confident Measurements QUIZ RENDER V2-WRANOBm89I4.en.vtt 4.0 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.pt-BR.vtt 4.0 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/13. 09 Additive Attention V2-93VfVWZ-IvY.zh-CN.vtt 4.0 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/20. State Transformation Matrix-DRRuQMYo800.en.vtt 4.0 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/10. Mini Project 2 Solution-45ihpPaeO8E.pt-BR.vtt 3.9 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.ar.vtt 3.9 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/08. RNN Hyperparameters-yQvnv7l_aUo.en.vtt 3.9 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/04. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.en.vtt 3.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/20. Hough Line Detection-PVIUkQKbrUw.en.vtt 3.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/11. Gaussian Blur-1tlPonqIOrU.en.vtt 3.8 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/06. KALMAN Kalman Filter Design RENDER V2-7C_tsAr8PNM.en.vtt 3.8 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.en.vtt 3.8 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/15. Approximating The Integral-9C05AHzI_I8.en.vtt 3.8 KB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/06. 4 HSA Learning In The Classroom V3 Demov1 V3-KN_SROb6SnM.en.vtt 3.8 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/10. 07 Feature Matching V2-RH05Wnl1-2A.zh-CN.vtt 3.8 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/04. 04 Bounding Boxes And Regression V1 RENDER V3-2YM82c7SaCo.zh-CN.vtt 3.8 KB
- Part 03-Module 01-Lesson 03_RNN_s/09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.zh-CN.vtt 3.8 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/09. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.zh-CN.vtt 3.7 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/08. RNN Hyperparameters-yQvnv7l_aUo.pt-BR.vtt 3.7 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/03. Layers-pg99FkXYK0M.ja-JP.vtt 3.7 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/18. Hough Transform-RIOzsF1_xuo.en.vtt 3.7 KB
- Part 03-Module 01-Lesson 03_RNN_s/18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.zh-CN.vtt 3.7 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/02. Andrew Trask - Intro-da1I0mea1jQ.pt-BR.vtt 3.7 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.zh-CN.vtt 3.7 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/05. 03 Fast V3-DCHAc6fjcVM.zh-CN.vtt 3.7 KB
- Part 03-Module 01-Lesson 03_RNN_s/03. 02 RNN History V4 Final-HbxAnYUfRnc.en.vtt 3.7 KB
- Part 03-Module 01-Lesson 03_RNN_s/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.pt-BR.vtt 3.7 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/26. Conclusion-WhpE_8sTt-0.en.vtt 3.6 KB
- Part 03-Module 01-Lesson 02_YOLO/07. 06 Generating Bounding Boxes V3-TGfPX-XcyOs.en.vtt 3.6 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/03. 03 Classification And Localization RENDER V3-UqNg9d6cKQU.zh-CN.vtt 3.6 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/08. RNN Hyperparameters-yQvnv7l_aUo.zh-CN.vtt 3.6 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/09. 06 Attention Decoder V1-5mMz6nN9_Ss.pt-BR.vtt 3.6 KB
- Part 03-Module 01-Lesson 07_Image Captioning/09. 07 RNN Training V4-P-tHxD7kRmA.zh-CN.vtt 3.6 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/20. State Transformation Matrix-DRRuQMYo800.zh-CN.vtt 3.6 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.en.vtt 3.6 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/14. 07 L The Integral Area Under A Curve H1 V2-QNvgwoIrsIE.en.vtt 3.6 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/11. Gaussian Blur-1tlPonqIOrU.zh-CN.vtt 3.6 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/23. Haar Cascades-vALIpxVfKRc.en.vtt 3.6 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.es-MX.vtt 3.6 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/12. 12 Omega And Xi QUIZ RENDER V1-KqCBoAaa5jQ.en.vtt 3.5 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.en.vtt 3.5 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/05. Calculating The Gradient 1 -tVuZDbUrzzI.ja-JP.vtt 3.5 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/18. 16 Introducing Noise Solution RENDER V1-X5kh82oke5w.en.vtt 3.5 KB
- Part 03-Module 01-Lesson 03_RNN_s/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.zh-CN.vtt 3.5 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/18. Hough Transform-RIOzsF1_xuo.zh-CN.vtt 3.5 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/20. Hough Line Detection-PVIUkQKbrUw.zh-CN.vtt 3.5 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/06. 05 Region Proposals V1 RENDER V2-HLwpr7h3rPY.en.vtt 3.5 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.pt-BR.vtt 3.5 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/13. Character-Wise RNN-m_S2hs6-j5w.en.vtt 3.5 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/05. Calculating The Gradient 1 -tVuZDbUrzzI.pt-BR.vtt 3.4 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/01. Kalman Filter Land RENDER 1 V1-6xupqulu0bc.en.vtt 3.4 KB
- Part 03-Module 01-Lesson 02_YOLO/05. 04 Using A Grid To Improve Localization V2-OmgR35Go79Y.en.vtt 3.4 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/05. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt 3.4 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.zh-CN.vtt 3.4 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/03. Layers-pg99FkXYK0M.en.vtt 3.4 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/21. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.en.vtt 3.4 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/01. Why Network-exjEm9Paszk.en.vtt 3.4 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.zh-CN.vtt 3.4 KB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/06. 4 HSA Learning In The Classroom V3 Demov1 V3-KN_SROb6SnM.zh-CN.vtt 3.4 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.ja-JP.vtt 3.4 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/03. KALMAN Tracking Intro RENDER V2-C73G7vfVNQc.en.vtt 3.4 KB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.en.vtt 3.3 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt 3.3 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/09. 06 Attention Decoder V1-5mMz6nN9_Ss.en.vtt 3.3 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/04. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.zh-CN.vtt 3.3 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/11. Building a Neural Network-aM2k7RTjjJI.en.vtt 3.3 KB
- Part 03-Module 01-Lesson 03_RNN_s/03. 02 RNN History V4 Final-HbxAnYUfRnc.zh-CN.vtt 3.3 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.ru.vtt 3.3 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/01. Why Network-exjEm9Paszk.zh-CN.vtt 3.3 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/03. Layers-pg99FkXYK0M.pt-BR.vtt 3.3 KB
- Part 03-Module 01-Lesson 03_RNN_s/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.en.vtt 3.3 KB
- Part 03-Module 01-Lesson 07_Image Captioning/08. Tokenization-4Ieotbeh4u8.pt-BR.vtt 3.3 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.ja-JP.vtt 3.3 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/19. 17 Confident Measurements QUIZ RENDER V2-WRANOBm89I4.zh-CN.vtt 3.3 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/06. 04 Attention Overview Decoding V2-DJxiPd585GY.pt-BR.vtt 3.3 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/26. Conclusion-WhpE_8sTt-0.pt-BR.vtt 3.3 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/26. Conclusion-WhpE_8sTt-0.zh-CN.vtt 3.3 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.ru.vtt 3.3 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/23. Haar Cascades-vALIpxVfKRc.zh-CN.vtt 3.2 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/06. 04 Attention Overview Decoding V2-DJxiPd585GY.en.vtt 3.2 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/07. Number Of Hidden Units Layers-IkGAIQH5wH8.en.vtt 3.2 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.en.vtt 3.2 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/01. Why Network-exjEm9Paszk.es-MX.vtt 3.2 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/09. Always Moving-EQBQlHvxAQA.en.vtt 3.2 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/01. Why Network-exjEm9Paszk.pt-BR.vtt 3.2 KB
- Part 03-Module 01-Lesson 02_YOLO/07. 06 Generating Bounding Boxes V3-TGfPX-XcyOs.zh-CN.vtt 3.2 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/06. KALMAN Kalman Filter Design RENDER V2-7C_tsAr8PNM.zh-CN.vtt 3.2 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/15. Approximating The Integral-9C05AHzI_I8.zh-CN.vtt 3.2 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/05. KALMAN Gaussian Intro RENDER 1 1 V3-S2v1CExswT4.en.vtt 3.2 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.pt-BR.vtt 3.1 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/01. 01 CNNs And Scene Understanding RENDER Full V2-_iRqSOsTBQU.en.vtt 3.1 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/07. 06 RCNN V1 RENDER V2-EchapZJMTYU.en.vtt 3.1 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/06. 05 Region Proposals V1 RENDER V2-HLwpr7h3rPY.zh-CN.vtt 3.1 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.zh-CN.vtt 3.1 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/03. Layers-pg99FkXYK0M.zh-CN.vtt 3.0 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/21. ROC Curve-fWwe_JlpnlQ.en.vtt 3.0 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/13. Character-Wise RNN-m_S2hs6-j5w.zh-CN.vtt 3.0 KB
- Part 03-Module 01-Lesson 02_YOLO/05. 04 Using A Grid To Improve Localization V2-OmgR35Go79Y.zh-CN.vtt 3.0 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/01. 02 SLAM V1-UVkkDPJshgM.en.vtt 3.0 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/07. Number Of Hidden Units Layers-IkGAIQH5wH8.pt-BR.vtt 3.0 KB
- Part 03-Module 01-Lesson 03_RNN_s/04. 03 RNN Applications V3 Final-6JbTNARuKII.pt-BR.vtt 3.0 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt 3.0 KB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/01. Types Of Features-cJHro29nzgg.en.vtt 3.0 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/21. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.zh-CN.vtt 3.0 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/11. 08 ORB In Video V2 (1)-Vzs6B1dFQC0.en.vtt 3.0 KB
- Part 03-Module 01-Lesson 02_YOLO/12. 09 NonMaximal Suppression V1-TE6M29Jo9hk.en.vtt 3.0 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/04. 09. Training a Model-m4GVfwVkj74.en.vtt 3.0 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/09. 06 Attention Decoder V1-5mMz6nN9_Ss.zh-CN.vtt 3.0 KB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.zh-CN.vtt 3.0 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/08. 05 Attention Encoder V2-sphe9LDT4rA.pt-BR.vtt 3.0 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/18. 16 Introducing Noise Solution RENDER V1-X5kh82oke5w.zh-CN.vtt 3.0 KB
- Part 03-Module 01-Lesson 07_Image Captioning/07. 06 Tokenizing Captions V3-aeEFb0eSzJ8.en.vtt 2.9 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/01. Localization Steps-4SiMoSTf4rQ.en.vtt 2.9 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.en.vtt 2.9 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/14. 07 L The Integral Area Under A Curve H1 V2-QNvgwoIrsIE.zh-CN.vtt 2.9 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/19. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.en.vtt 2.9 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/05. Calculating The Gradient 1 -tVuZDbUrzzI.zh-CN.vtt 2.9 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/10. Color Images--XbXiiGQ9gw.en.vtt 2.9 KB
- Part 03-Module 01-Lesson 07_Image Captioning/08. Tokenization-4Ieotbeh4u8.en.vtt 2.9 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/11. Building a Neural Network-aM2k7RTjjJI.zh-CN.vtt 2.9 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/11. Building a Neural Network-aM2k7RTjjJI.pt-BR.vtt 2.9 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/13. 06 L Reasoning About Two Peaks H1 V1-bgPS1GO1EJs.en.vtt 2.9 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.en.vtt 2.9 KB
- Part 04-Module 01-Lesson 02_Robot Localization/33. 27 Sense And Move V2-v2dYzm6-YVs.en.vtt 2.8 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/06. 02 Brightness Constancy Assumption V3-GHz9Yzt5tro.en.vtt 2.8 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/12. 12 Omega And Xi QUIZ RENDER V1-KqCBoAaa5jQ.zh-CN.vtt 2.8 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/01. Kalman Filter Land RENDER 1 V1-6xupqulu0bc.zh-CN.vtt 2.8 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.ar.vtt 2.8 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/07. Number Of Hidden Units Layers-IkGAIQH5wH8.zh-CN.vtt 2.8 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/01. 02 SLAM V1-UVkkDPJshgM.zh-CN.vtt 2.8 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/03. KALMAN Tracking Intro RENDER V2-C73G7vfVNQc.zh-CN.vtt 2.8 KB
- Part 03-Module 01-Lesson 03_RNN_s/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.zh-CN.vtt 2.8 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/04. 04 Implementing Constraints Quiz V1-2V3ZF08TcX8.en.vtt 2.8 KB
- Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation/01. Types Of Features-cJHro29nzgg.zh-CN.vtt 2.8 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/08. 05 Attention Encoder V2-sphe9LDT4rA.en.vtt 2.8 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt 2.8 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/05. 01 Motion Vector V2-I3f3IEUI2tg.en.vtt 2.8 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/09. Always Moving-EQBQlHvxAQA.zh-CN.vtt 2.8 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.zh-CN.vtt 2.7 KB
- Part 03-Module 01-Lesson 02_YOLO/14. 11 YOLO Algorithm V3-ZbQzCHQ8YEo.en.vtt 2.7 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.en.vtt 2.7 KB
- Part 04-Module 01-Lesson 02_Robot Localization/04. 概率分布入门 2-PglBg4eb_5M.en.vtt 2.7 KB
- Part 03-Module 01-Lesson 03_RNN_s/14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.pt-BR.vtt 2.7 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/06. 04 Attention Overview Decoding V2-DJxiPd585GY.zh-CN.vtt 2.7 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/23. Andrew Trask - Outro-nIF0GLOQglQ.en-US.vtt 2.7 KB
- Part 03-Module 01-Lesson 03_RNN_s/04. 03 RNN Applications V3 Final-6JbTNARuKII.en.vtt 2.7 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/07. 06 RCNN V1 RENDER V2-EchapZJMTYU.zh-CN.vtt 2.7 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/16. 动量-r-rYz_PEWC8.pt-BR.vtt 2.7 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/15. Momentum-r-rYz_PEWC8.pt-BR.vtt 2.7 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/01. Localization Steps-4SiMoSTf4rQ.zh-CN.vtt 2.7 KB
- Part 03-Module 01-Lesson 03_RNN_s/08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.pt-BR.vtt 2.7 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.zh-CN.vtt 2.7 KB
- Part 03-Module 01-Lesson 07_Image Captioning/07. 06 Tokenizing Captions V3-aeEFb0eSzJ8.zh-CN.vtt 2.7 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/12. Other Activation Functions-kA-1vUt6cvQ.en.vtt 2.7 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/08. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.en.vtt 2.7 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.en.vtt 2.7 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/06. Learn Gate-aVHVI7ovbHY.pt-BR.vtt 2.7 KB
- Part 03-Module 01-Lesson 02_YOLO/02. 02 YOLO Output V2-MyOuuwk0qC4.en.vtt 2.7 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/01. 01 CNNs And Scene Understanding RENDER Full V2-_iRqSOsTBQU.zh-CN.vtt 2.7 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.zh-CN.vtt 2.7 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/12. Validating The Training-Oxm9ofvov3I.en.vtt 2.6 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/14. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.en.vtt 2.6 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/21. ROC Curve-fWwe_JlpnlQ.pt-BR.vtt 2.6 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/06. Learn Gate-aVHVI7ovbHY.en.vtt 2.6 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/02. Applications seq2seq-tDJBDwriJYQ.en.vtt 2.6 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/02. Feature Vectors--PF1_MITrOw.en.vtt 2.6 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.ar.vtt 2.6 KB
- Part 03-Module 01-Lesson 07_Image Captioning/08. Tokenization-4Ieotbeh4u8.zh-CN.vtt 2.6 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.en.vtt 2.6 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/04. 09. Training a Model-m4GVfwVkj74.zh-CN.vtt 2.6 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/21. ROC Curve-fWwe_JlpnlQ.zh-CN.vtt 2.6 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/05. KALMAN Gaussian Intro RENDER 1 1 V3-S2v1CExswT4.zh-CN.vtt 2.6 KB
- Part 03-Module 01-Lesson 03_RNN_s/04. 03 RNN Applications V3 Final-6JbTNARuKII.zh-CN.vtt 2.6 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.ar.vtt 2.6 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/11. 08 ORB In Video V2 (1)-Vzs6B1dFQC0.zh-CN.vtt 2.6 KB
- Part 03-Module 01-Lesson 03_RNN_s/14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.en.vtt 2.6 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/12. Other Activation Functions-kA-1vUt6cvQ.pt-BR.vtt 2.5 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.ja-JP.vtt 2.5 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/06. 02 Brightness Constancy Assumption V3-GHz9Yzt5tro.zh-CN.vtt 2.5 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/07. Image Formation-6ZVnQYzfpis.en.vtt 2.5 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.zh-CN.vtt 2.5 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/06. Learn Gate-aVHVI7ovbHY.zh-CN.vtt 2.5 KB
- Part 03-Module 01-Lesson 03_RNN_s/08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.en.vtt 2.5 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/02. Applications seq2seq-tDJBDwriJYQ.pt-BR.vtt 2.5 KB
- Part 03-Module 01-Lesson 02_YOLO/12. 09 NonMaximal Suppression V1-TE6M29Jo9hk.zh-CN.vtt 2.5 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/03. Motion Models-qSdbn_PVQnk.en.vtt 2.5 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/16. 动量-r-rYz_PEWC8.en.vtt 2.5 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/15. Momentum-r-rYz_PEWC8.en.vtt 2.5 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/10. Color Images--XbXiiGQ9gw.zh-CN.vtt 2.5 KB
- Part 03-Module 01-Lesson 02_YOLO/14. 11 YOLO Algorithm V3-ZbQzCHQ8YEo.zh-CN.vtt 2.5 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/11. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.en.vtt 2.5 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/23. Andrew Trask - Outro-nIF0GLOQglQ.zh-CN.vtt 2.5 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/19. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.zh-CN.vtt 2.5 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/02. Feature Vectors--PF1_MITrOw.zh-CN.vtt 2.4 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/16. Other Architectures-MsxFDuYlTuQ.pt-BR.vtt 2.4 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/04. Elevator Pitch-0QtgTG49E9I.ja-JP.vtt 2.4 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.zh-CN.vtt 2.4 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/08. 05 Attention Encoder V2-sphe9LDT4rA.zh-CN.vtt 2.4 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/13. 06 L Reasoning About Two Peaks H1 V1-bgPS1GO1EJs.zh-CN.vtt 2.4 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/10. Putting It All Together-IF8FlKW-Zo0.en.vtt 2.4 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/02. Applications seq2seq-tDJBDwriJYQ.zh-CN.vtt 2.4 KB
- Part 03-Module 01-Lesson 07_Image Captioning/01. 01 L Introduction V3-dobNslC2y-o.en.vtt 2.4 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/03. Testing-EeBZpb-PSac.en.vtt 2.4 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.zh-CN.vtt 2.4 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/14. KALMAN QUIZ Parameter Update 01 RENDER V3-UUXETqShme4.en.vtt 2.4 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.pt-BR.vtt 2.4 KB
- Part 04-Module 01-Lesson 02_Robot Localization/33. 27 Sense And Move V2-v2dYzm6-YVs.zh-CN.vtt 2.4 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/01. 02 Intro To CNN Layers V1 RENDER V3-hT6zBYCuAfw.en.vtt 2.4 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/25. Solving Trig Problems Part1-qI4i845d7Qg.en.vtt 2.4 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/08. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.zh-CN.vtt 2.4 KB
- Part 04-Module 01-Lesson 02_Robot Localization/04. 概率分布入门 2-PglBg4eb_5M.zh-CN.vtt 2.4 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/04. 04 Implementing Constraints Quiz V1-2V3ZF08TcX8.zh-CN.vtt 2.4 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/03. Testing-EeBZpb-PSac.pt-BR.vtt 2.4 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/10. Putting It All Together-IF8FlKW-Zo0.pt-BR.vtt 2.4 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.ja-JP.vtt 2.4 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/05. 01 Motion Vector V2-I3f3IEUI2tg.zh-CN.vtt 2.3 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/12. Other Activation Functions-kA-1vUt6cvQ.zh-CN.vtt 2.3 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/02. Introduction-erwnzFD7AeE.en.vtt 2.3 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.ja-JP.vtt 2.3 KB
- Part 03-Module 01-Lesson 02_YOLO/02. 02 YOLO Output V2-MyOuuwk0qC4.zh-CN.vtt 2.3 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/16. Other Architectures-MsxFDuYlTuQ.en.vtt 2.3 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/12. Validating The Training-Oxm9ofvov3I.zh-CN.vtt 2.3 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/02. 05. Emotional Intelligence-D_LzJsJH5qk.en.vtt 2.3 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/08. 04 Tracking Features V2-uFf6IZ5MxgU.en.vtt 2.3 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/03. Multiclass Classification-uNTtvxwfox0.ja-JP.vtt 2.3 KB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/03. 3 HSA Course Outline V3 Demo01 1 V3-INMNyJGB2DI.en.vtt 2.3 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/04. Elevator Pitch-0QtgTG49E9I.ar.vtt 2.3 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/12. Validating The Training-Oxm9ofvov3I.pt-BR.vtt 2.3 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.ar.vtt 2.3 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/08. 07 Fast RCNN V1 RENDER V2-6FOBZ9OgWlY.en.vtt 2.3 KB
- Part 04-Module 01-Lesson 02_Robot Localization/25. 20 Inexact Motion 1 V3-hHAwFNsIp1c.en.vtt 2.3 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.en.vtt 2.3 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/07. Image Formation-6ZVnQYzfpis.zh-CN.vtt 2.3 KB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/02. 2 HSA Computer Vision In Industry V3 Demo02 V3-_8be3GdqfqU.en.vtt 2.2 KB
- Part 03-Module 01-Lesson 02_YOLO/01. 01 Introduction V3-uyefSrHZesY.en.vtt 2.2 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/16. 动量-r-rYz_PEWC8.zh-CN.vtt 2.2 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/15. Momentum-r-rYz_PEWC8.zh-CN.vtt 2.2 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.ja-JP.vtt 2.2 KB
- Part 03-Module 01-Lesson 03_RNN_s/14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.zh-CN.vtt 2.2 KB
- Part 03-Module 01-Lesson 02_YOLO/06. 05 Training On A Grid V2-uhefpakvXh8.en.vtt 2.2 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.es-ES.vtt 2.2 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/14. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.zh-CN.vtt 2.2 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/25. Solving Trig Problems Part1-qI4i845d7Qg.ja-JP.vtt 2.2 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.pt-BR.vtt 2.2 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/02. Why Fully Convolutional Networks (FCNs) -WQ_YOz1o9GM.en.vtt 2.2 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.ar.vtt 2.2 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/23. Andrew Trask - Outro-nIF0GLOQglQ.pt-BR.vtt 2.2 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/04. 02 Introduction To ORB V3-WN37zcMhMas.en.vtt 2.2 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/03. Motion Models-qSdbn_PVQnk.zh-CN.vtt 2.2 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.ja-JP.vtt 2.2 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/23. What Is The Neural Network Looking At-qN-rvoxPbBw.en.vtt 2.2 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.ja-JP.vtt 2.2 KB
- Part 03-Module 01-Lesson 03_RNN_s/08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.zh-CN.vtt 2.2 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/02. Introduction-erwnzFD7AeE.pt-BR.vtt 2.2 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.ar.vtt 2.2 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.en.vtt 2.2 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.en.vtt 2.2 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/14. Sequence Batching-pdSr5F-9qE0.en.vtt 2.1 KB
- Part 03-Module 01-Lesson 07_Image Captioning/05. 04 CNNRNN Model V3-n7kdMiX1Xz8.en.vtt 2.1 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/10. Putting It All Together-IF8FlKW-Zo0.zh-CN.vtt 2.1 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt 2.1 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/14. KALMAN QUIZ Parameter Update 01 RENDER V3-UUXETqShme4.zh-CN.vtt 2.1 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/03. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt 2.1 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.ja.vtt 2.1 KB
- Part 03-Module 01-Lesson 07_Image Captioning/01. 01 L Introduction V3-dobNslC2y-o.zh-CN.vtt 2.1 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.en.vtt 2.1 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.es-ES.vtt 2.1 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/03. Multiclass Classification-uNTtvxwfox0.en.vtt 2.1 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.es.vtt 2.1 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.zh-CN.vtt 2.1 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.pt-BR.vtt 2.1 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/04. Elevator Pitch-0QtgTG49E9I.en.vtt 2.1 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.pt-BR.vtt 2.1 KB
- Part 03-Module 01-Lesson 07_Image Captioning/03. 03 Captions And The COCO Dataset V3-DMmJs1w1n7A.en.vtt 2.1 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/01. 惯性导航-vWgG0d2HOVE.en.vtt 2.0 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/05. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.en.vtt 2.0 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/16. Other Architectures-MsxFDuYlTuQ.zh-CN.vtt 2.0 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/12. IoU---9BTjOsO6U.en.vtt 2.0 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/11. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.zh-CN.vtt 2.0 KB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/02. 2 HSA Computer Vision In Industry V3 Demo02 V3-_8be3GdqfqU.zh-CN.vtt 2.0 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/01. 02 Intro To CNN Layers V1 RENDER V3-hT6zBYCuAfw.zh-CN.vtt 2.0 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/02. QUIZ Kalman Filter Prediction 01 RENDER V2-DjoBJNLzhj8.en.vtt 2.0 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/02. 05. Emotional Intelligence-D_LzJsJH5qk.zh-CN.vtt 2.0 KB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/03. 3 HSA Course Outline V3 Demo01 1 V3-INMNyJGB2DI.zh-CN.vtt 2.0 KB
- Part 04-Module 01-Lesson 02_Robot Localization/08. 09 Probability After Sense V1-aWQMJQQmNGw.en.vtt 2.0 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/02. Introduction-erwnzFD7AeE.zh-CN.vtt 2.0 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.pt-PT.vtt 2.0 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.ja.vtt 2.0 KB
- Part 04-Module 01-Lesson 02_Robot Localization/05. 03 Localization V1-OB6GZxfvESw.en.vtt 2.0 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.pt.vtt 2.0 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/04. Elevator Pitch-0QtgTG49E9I.es-MX.vtt 2.0 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/04. Elevator Pitch-0QtgTG49E9I.zh-CN.vtt 2.0 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/03. Testing-EeBZpb-PSac.zh-CN.vtt 2.0 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/08. 04 Tracking Features V2-uFf6IZ5MxgU.zh-CN.vtt 2.0 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.ja-JP.vtt 2.0 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/05. The Data-2RLbbV7MQNA.en.vtt 2.0 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/08. 07 Fast RCNN V1 RENDER V2-6FOBZ9OgWlY.zh-CN.vtt 2.0 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt 2.0 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/05. 03 Attention Overview Encoding V2-IctAnMaVUKc.pt-BR.vtt 2.0 KB
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.zh-CN.vtt 2.0 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/25. Solving Trig Problems Part1-qI4i845d7Qg.zh-CN.vtt 1.9 KB
- Part 03-Module 01-Lesson 02_YOLO/06. 05 Training On A Grid V2-uhefpakvXh8.zh-CN.vtt 1.9 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.ar.vtt 1.9 KB
- Part 03-Module 01-Lesson 02_YOLO/01. 01 Introduction V3-uyefSrHZesY.zh-CN.vtt 1.9 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/04. Elevator Pitch-0QtgTG49E9I.pt-BR.vtt 1.9 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.en.vtt 1.9 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.en.vtt 1.9 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/09. 08 Faster RCNN V1 RENDER V2-ySh_Q3KTTBY.en.vtt 1.9 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.zh-CN.vtt 1.9 KB
- Part 03-Module 01-Lesson 07_Image Captioning/05. 04 CNNRNN Model V3-n7kdMiX1Xz8.zh-CN.vtt 1.9 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/14. Sequence Batching-pdSr5F-9qE0.zh-CN.vtt 1.9 KB
- Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.zh-CN.vtt 1.9 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/06. AffdexMe Demo-dpFtXDqakvY.en.vtt 1.9 KB
- Part 04-Module 01-Lesson 02_Robot Localization/38. Lesson Overview C++-lR3PH3bL-9U.en.vtt 1.9 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.en.vtt 1.9 KB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/01. 1 HS Welcome To Computer Vision V2Demo1 V2-9s-gm2ZvODI.en.vtt 1.9 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/28. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.en.vtt 1.9 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/20. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.en.vtt 1.9 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.en.vtt 1.9 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/02. Why Fully Convolutional Networks (FCNs) -WQ_YOz1o9GM.zh-CN.vtt 1.9 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.en.vtt 1.9 KB
- Part 04-Module 01-Lesson 02_Robot Localization/36. Sense And Move 2 Solution Director_SCut-7gl2GF-laOQ.en.vtt 1.9 KB
- Part 04-Module 01-Lesson 02_Robot Localization/02. Reduzindo a incerteza-zuFMhmKQ--o.ar.vtt 1.9 KB
- Part 04-Module 01-Lesson 02_Robot Localization/25. 20 Inexact Motion 1 V3-hHAwFNsIp1c.zh-CN.vtt 1.9 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.zh-CN.vtt 1.9 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/23. What Is The Neural Network Looking At-qN-rvoxPbBw.zh-CN.vtt 1.9 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/23. Nd113 C7 29 L Features-HshygbfQylA.en.vtt 1.9 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/02. 02 Skin Cancer V4-70jGZeiTNgk.en.vtt 1.9 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.zh-CN.vtt 1.9 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/22. Visualization-aGIGB4Ta3_A.en.vtt 1.8 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/04. 02 Introduction To ORB V3-WN37zcMhMas.zh-CN.vtt 1.8 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/05. 03 Attention Overview Encoding V2-IctAnMaVUKc.en.vtt 1.8 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/01. 惯性导航-vWgG0d2HOVE.zh-CN.vtt 1.8 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/03. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt 1.8 KB
- Part 04-Module 01-Lesson 02_Robot Localization/08. 09 Probability After Sense V1-aWQMJQQmNGw.zh-CN.vtt 1.8 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.ja-JP.vtt 1.8 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/27. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.en.vtt 1.8 KB
- Part 03-Module 01-Lesson 07_Image Captioning/03. 03 Captions And The COCO Dataset V3-DMmJs1w1n7A.zh-CN.vtt 1.8 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.pt-BR.vtt 1.8 KB
- Part 04-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.pt-PT.vtt 1.8 KB
- Part 04-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.it.vtt 1.8 KB
- Part 04-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.pt.vtt 1.8 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.zh-CN.vtt 1.8 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/22. Visualization-aGIGB4Ta3_A.pt-BR.vtt 1.8 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/04. Optical Flow-TOS8UJwCtTg.en.vtt 1.8 KB
- Part 04-Module 01-Lesson 02_Robot Localization/05. 03 Localization V1-OB6GZxfvESw.zh-CN.vtt 1.8 KB
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/01. 1 HS Welcome To Computer Vision V2Demo1 V2-9s-gm2ZvODI.zh-CN.vtt 1.8 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/13. Color Thresholds-08ZlYZJaiUg.en.vtt 1.8 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/02. QUIZ Kalman Filter Prediction 01 RENDER V2-DjoBJNLzhj8.zh-CN.vtt 1.8 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/05. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.zh-CN.vtt 1.8 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/12. IoU---9BTjOsO6U.zh-CN.vtt 1.8 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/20. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.zh-CN.vtt 1.8 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/09. LSTM 7 Use Gate-5Ifolm1jTdY.en.vtt 1.7 KB
- Part 04-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.en.vtt 1.7 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/03. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.en.vtt 1.7 KB
- Part 04-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.es-ES.vtt 1.7 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.zh-CN.vtt 1.7 KB
- Part 04-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.es.vtt 1.7 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/28. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.zh-CN.vtt 1.7 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/05. A Different Model-Mh0g-SMpMI4.en.vtt 1.7 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/02. 02 Skin Cancer V4-70jGZeiTNgk.pt-BR.vtt 1.7 KB
- Part 03-Module 01-Lesson 03_RNN_s/09. Regra da cadeia-YAhIBOnbt54.pt-BR.vtt 1.7 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/05. Chain Rule-YAhIBOnbt54.pt-BR.vtt 1.7 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/09. LSTM 7 Use Gate-5Ifolm1jTdY.pt-BR.vtt 1.7 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/23. What Is The Neural Network Looking At-qN-rvoxPbBw.pt-BR.vtt 1.7 KB
- Part 04-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.zh-CN.vtt 1.7 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/07. FCNs In The Wild-q9wTd53-hsw.en.vtt 1.7 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/11. 11 Untouched Fields Solution RENDER V2-cKFEdCwBGqo.en.vtt 1.7 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/05. The Data-2RLbbV7MQNA.pt-BR.vtt 1.7 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/09. 08 Faster RCNN V1 RENDER V2-ySh_Q3KTTBY.zh-CN.vtt 1.7 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.pt-BR.vtt 1.7 KB
- Part 04-Module 01-Lesson 02_Robot Localization/35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.ja-JP.vtt 1.7 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/03. 08. Computer Vision Pipeline-64hFcqhnNow.en.vtt 1.7 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.zh-CN.vtt 1.7 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/02. 02 Skin Cancer V4-70jGZeiTNgk.zh-CN.vtt 1.7 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/01. Object Tracking V4 (1)-ciEo6PyMTeM.en.vtt 1.7 KB
- Part 04-Module 01-Lesson 02_Robot Localization/38. Lesson Overview C++-lR3PH3bL-9U.zh-CN.vtt 1.7 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.zh-CN.vtt 1.7 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/25. Confusion Matrix-3rpN-YYlfes.en.vtt 1.7 KB
- Part 03-Module 01-Lesson 06_Optional Attention Mechanisms/05. 03 Attention Overview Encoding V2-IctAnMaVUKc.zh-CN.vtt 1.7 KB
- Part 04-Module 01-Lesson 02_Robot Localization/36. Sense And Move 2 Solution Director_SCut-7gl2GF-laOQ.zh-CN.vtt 1.6 KB
- Part 03-Module 01-Lesson 03_RNN_s/09. Regra da cadeia-YAhIBOnbt54.en.vtt 1.6 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/05. Chain Rule-YAhIBOnbt54.en.vtt 1.6 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/13. Color Thresholds-08ZlYZJaiUg.zh-CN.vtt 1.6 KB
- Part 03-Module 01-Lesson 03_RNN_s/09. Regra da cadeia-YAhIBOnbt54.ja-JP.vtt 1.6 KB
- Part 04-Module 01-Lesson 02_Robot Localization/35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.es-ES.vtt 1.6 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/05. Chain Rule-YAhIBOnbt54.ja-JP.vtt 1.6 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/06. AffdexMe Demo-dpFtXDqakvY.zh-CN.vtt 1.6 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/05. The Data-2RLbbV7MQNA.zh-CN.vtt 1.6 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/10. KALMAN QUIZ Shifting The Mean 01 RENDER 1 V2-gfBdoCFborg.en.vtt 1.6 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/02. 为何是神经网络-zAkzOZntK6Y.ja-JP.vtt 1.6 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/06. Number Of Iterations-TTdHpSb4DV8.en.vtt 1.6 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/23. Nd113 C7 29 L Features-HshygbfQylA.zh-CN.vtt 1.6 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.zh-CN.vtt 1.6 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.ja-JP.vtt 1.6 KB
- Part 04-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.ja.vtt 1.6 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.en.vtt 1.6 KB
- Part 04-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.ja-JP.vtt 1.6 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/05. A Different Model-Mh0g-SMpMI4.zh-CN.vtt 1.6 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/04. Optical Flow-TOS8UJwCtTg.zh-CN.vtt 1.6 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/03. Motion -A-QJf04LBb0.en.vtt 1.6 KB
- Part 04-Module 01-Lesson 02_Robot Localization/35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.pt-PT.vtt 1.6 KB
- Part 04-Module 01-Lesson 02_Robot Localization/35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.it.vtt 1.6 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/07. FCNs In The Wild-q9wTd53-hsw.zh-CN.vtt 1.6 KB
- Part 04-Module 01-Lesson 02_Robot Localization/35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.pt.vtt 1.6 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.en.vtt 1.6 KB
- Part 04-Module 01-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.ja-JP.vtt 1.6 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/06. Skip Connections-JUYLA5PWzo0.en.vtt 1.6 KB
- Part 04-Module 01-Lesson 02_Robot Localization/35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.ja.vtt 1.6 KB
- Part 04-Module 01-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.es-ES.vtt 1.6 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/11. Vanishing Gradient-W_JJm_5syFw.pt-BR.vtt 1.6 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.en.vtt 1.6 KB
- Part 04-Module 01-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.es.vtt 1.6 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/17. 15 Introducing Noise QUIZ RENDER V1-E_OI5DinFA0.en.vtt 1.6 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/01. Object Tracking V4 (1)-ciEo6PyMTeM.zh-CN.vtt 1.6 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/25. Confusion Matrix-3rpN-YYlfes.pt-BR.vtt 1.5 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/03. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.zh-CN.vtt 1.5 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/10. 09 Detection Without Proposals Summary V1-IMnt1HFu_nc.en.vtt 1.5 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/06. Number Of Iterations-TTdHpSb4DV8.pt-BR.vtt 1.5 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/03. 01 Realtime Feature Detection V2-zPxylrXf-Gs.en.vtt 1.5 KB
- Part 04-Module 01-Lesson 02_Robot Localization/35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.en.vtt 1.5 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.en.vtt 1.5 KB
- Part 04-Module 01-Lesson 02_Robot Localization/29. 24 Limit Distribution Quiz V3-NJvalJwjz18.en.vtt 1.5 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/03. 08. Computer Vision Pipeline-64hFcqhnNow.zh-CN.vtt 1.5 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/20. Working with Real Data-WvEcWtAz-OQ.en.vtt 1.5 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/03. Motion -A-QJf04LBb0.zh-CN.vtt 1.5 KB
- Part 03-Module 01-Lesson 02_YOLO/10. 08 Intersection Over Union IOU V1-ieKEHlEjIsY.en.vtt 1.5 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.ar.vtt 1.5 KB
- Part 04-Module 01-Lesson 02_Robot Localization/02. Reduzindo a incerteza-zuFMhmKQ--o.pt-BR.vtt 1.5 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/03. Fully Convolutional Networks-_Lh2ozg5yTs.en.vtt 1.5 KB
- Part 04-Module 01-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.pt-PT.vtt 1.5 KB
- Part 04-Module 01-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.pt.vtt 1.5 KB
- Part 03-Module 01-Lesson 05_Hyperparameters/06. Number Of Iterations-TTdHpSb4DV8.zh-CN.vtt 1.5 KB
- Part 04-Module 01-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.ja.vtt 1.5 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/11. 11 Untouched Fields Solution RENDER V2-cKFEdCwBGqo.zh-CN.vtt 1.5 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/09. LSTM 7 Use Gate-5Ifolm1jTdY.zh-CN.vtt 1.5 KB
- Part 03-Module 01-Lesson 07_Image Captioning/10. 08 Video Captioning V1-I_m9JyKTfbQ.en.vtt 1.5 KB
- Part 04-Module 01-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.it.vtt 1.5 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/19. State Vector-st26ov_TVwM.en.vtt 1.5 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/04. LSTM Architecture-ycwthhdx8ws.en.vtt 1.5 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/07. Quantifying State-9zMbwSqTZAc.en.vtt 1.5 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/22. Visualization-aGIGB4Ta3_A.zh-CN.vtt 1.5 KB
- Part 04-Module 01-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.en.vtt 1.5 KB
- Part 04-Module 01-Lesson 02_Robot Localization/02. Reduzindo a incerteza-zuFMhmKQ--o.en.vtt 1.5 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/27. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.zh-CN.vtt 1.5 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.ja-JP.vtt 1.5 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.pt-BR.vtt 1.5 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.en.vtt 1.5 KB
- Part 04-Module 01-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.es-ES.vtt 1.5 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/31. Nd113 Matrices L3 12 V1-BRLmFGScL_k.en.vtt 1.5 KB
- Part 04-Module 01-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.es.vtt 1.5 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.en.vtt 1.5 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/04. LSTM Architecture-ycwthhdx8ws.pt-BR.vtt 1.5 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.zh-CN.vtt 1.5 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/11. Vanishing Gradient-W_JJm_5syFw.en.vtt 1.5 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.en.vtt 1.5 KB
- Part 03-Module 01-Lesson 07_Image Captioning/06. 05 The Glue V5-u2ZdcUDnHm0.en.vtt 1.5 KB
- Part 04-Module 01-Lesson 02_Robot Localization/35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.zh-CN.vtt 1.4 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.ru.vtt 1.4 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.zh-CN.vtt 1.4 KB
- Part 03-Module 01-Lesson 07_Image Captioning/02. 02 Leveraging Neural Networks V3-thClOUTiNxY.en.vtt 1.4 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.es-MX.vtt 1.4 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/23. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.en.vtt 1.4 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/02. Intro To State-zfilXYrW4Gk.en.vtt 1.4 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.zh-CN.vtt 1.4 KB
- Part 04-Module 01-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.zh-CN.vtt 1.4 KB
- Part 03-Module 01-Lesson 03_RNN_s/09. Regra da cadeia-YAhIBOnbt54.zh-CN.vtt 1.4 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/05. Chain Rule-YAhIBOnbt54.zh-CN.vtt 1.4 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/02. 02 More Than Classification RENDER V2-vBE5KvvAYzg.en.vtt 1.4 KB
- Part 04-Module 01-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.pt-PT.vtt 1.4 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/25. Confusion Matrix-3rpN-YYlfes.zh-CN.vtt 1.4 KB
- Part 04-Module 01-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.pt.vtt 1.4 KB
- Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.pt-BR.vtt 1.4 KB
- Part 04-Module 01-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.ja-JP.vtt 1.4 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/04. Fully Connected to 1x1 Convolution-xbPtOhkJW1A.en.vtt 1.4 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.zh-CN.vtt 1.4 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.en.vtt 1.4 KB
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/31. Nd113 Matrices L3 12 V1-BRLmFGScL_k.zh-CN.vtt 1.4 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/02. 为何是神经网络-zAkzOZntK6Y.en.vtt 1.4 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/28. Conclusion-gMbDqd4ItiU.ja-JP.vtt 1.4 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/04. Medical Classification-RCOSP60dV7U.en.vtt 1.4 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/01. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.en.vtt 1.4 KB
- Part 04-Module 01-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.en.vtt 1.4 KB
- Part 04-Module 01-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.it.vtt 1.4 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/01. 01 Pattern Recognition V1-cX5EE1WEqhY.en.vtt 1.4 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.en.vtt 1.4 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/10. KALMAN QUIZ Shifting The Mean 01 RENDER 1 V2-gfBdoCFborg.zh-CN.vtt 1.4 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/06. Skip Connections-JUYLA5PWzo0.zh-CN.vtt 1.4 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/19. State Vector-st26ov_TVwM.zh-CN.vtt 1.3 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.en.vtt 1.3 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.pt-BR.vtt 1.3 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/04. LSTM Architecture-ycwthhdx8ws.zh-CN.vtt 1.3 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/20. Working with Real Data-WvEcWtAz-OQ.zh-CN.vtt 1.3 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/07. Forget Gate-iWxpfxLUPSU.pt-BR.vtt 1.3 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/07. Quantifying State-9zMbwSqTZAc.zh-CN.vtt 1.3 KB
- Part 04-Module 01-Lesson 02_Robot Localization/17. 16 Test Sense Function V1-gytbuOI9-3g.en.vtt 1.3 KB
- Part 03-Module 01-Lesson 07_Image Captioning/10. 08 Video Captioning V1-I_m9JyKTfbQ.zh-CN.vtt 1.3 KB
- Part 03-Module 01-Lesson 07_Image Captioning/06. 05 The Glue V5-u2ZdcUDnHm0.zh-CN.vtt 1.3 KB
- Part 01-Module 01-Lesson 07_Feature Vectors/03. 01 Realtime Feature Detection V2-zPxylrXf-Gs.zh-CN.vtt 1.3 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/08. Bounding Boxes-uPv4d0Xl8hc.en.vtt 1.3 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.zh-CN.vtt 1.3 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/17. 15 Introducing Noise QUIZ RENDER V1-E_OI5DinFA0.zh-CN.vtt 1.3 KB
- Part 10-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.zh-CN.vtt 1.3 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.zh-CN.vtt 1.3 KB
- Part 04-Module 01-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.zh-CN.vtt 1.3 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/10. 09 Detection Without Proposals Summary V1-IMnt1HFu_nc.zh-CN.vtt 1.3 KB
- Part 04-Module 01-Lesson 05_Representing State and Motion/02. Intro To State-zfilXYrW4Gk.zh-CN.vtt 1.3 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/02. 为何是神经网络-zAkzOZntK6Y.pt-BR.vtt 1.3 KB
- Part 03-Module 01-Lesson 02_YOLO/10. 08 Intersection Over Union IOU V1-ieKEHlEjIsY.zh-CN.vtt 1.3 KB
- Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization/23. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.zh-CN.vtt 1.3 KB
- Part 08-Module 01-Lesson 01_Sentiment Analysis/01. Introducing Andrew Trask-ltO71Bm8b3M.pt-BR.vtt 1.3 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/18. Rate Gyros-TmnecSf80b0.en.vtt 1.3 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/14. Learning Rate-TwJ8aSZoh2U.pt-BR.vtt 1.3 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/07. Forget Gate-iWxpfxLUPSU.en.vtt 1.3 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/03. Fully Convolutional Networks-_Lh2ozg5yTs.zh-CN.vtt 1.3 KB
- Part 03-Module 01-Lesson 07_Image Captioning/02. 02 Leveraging Neural Networks V3-thClOUTiNxY.zh-CN.vtt 1.3 KB
- Part 04-Module 01-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.ja.vtt 1.3 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.zh-CN.vtt 1.2 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/11. Vanishing Gradient-W_JJm_5syFw.zh-CN.vtt 1.2 KB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.en.vtt 1.2 KB
- Part 04-Module 01-Lesson 02_Robot Localization/02. Reduzindo a incerteza-zuFMhmKQ--o.zh-CN.vtt 1.2 KB
- Part 01-Module 01-Lesson 04_Image Representation _ Classification/01. 01 Pattern Recognition V1-cX5EE1WEqhY.zh-CN.vtt 1.2 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.pt-BR.vtt 1.2 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/04. Fully Connected to 1x1 Convolution-xbPtOhkJW1A.zh-CN.vtt 1.2 KB
- Part 03-Module 01-Lesson 01_Advanced CNN Architectures/02. 02 More Than Classification RENDER V2-vBE5KvvAYzg.zh-CN.vtt 1.2 KB
- Part 04-Module 01-Lesson 02_Robot Localization/29. 24 Limit Distribution Quiz V3-NJvalJwjz18.zh-CN.vtt 1.2 KB
- Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection/01. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.zh-CN.vtt 1.2 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/08. Bounding Boxes-uPv4d0Xl8hc.zh-CN.vtt 1.2 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/03. Survival Rate-QPlp3NeGuSk.en.vtt 1.2 KB
- Part 06-Module 01-Lesson 01_Feedforward and Backpropagation/02. 为何是神经网络-zAkzOZntK6Y.zh-CN.vtt 1.2 KB
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.zh-CN.vtt 1.2 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/02. Localization V1 (1)-QkVyEMTUkAw.en.vtt 1.2 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/04. Medical Classification-RCOSP60dV7U.pt-BR.vtt 1.2 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/04. Medical Classification-RCOSP60dV7U.zh-CN.vtt 1.2 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/16. Error Functions Around the World-34AAcTECu2A.en.vtt 1.2 KB
- Part 04-Module 01-Lesson 02_Robot Localization/17. 16 Test Sense Function V1-gytbuOI9-3g.zh-CN.vtt 1.2 KB
- Part 10-Module 02-Lesson 01_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.zh-CN.vtt 1.2 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/06. DL 53 Q Regularization-KxROxcRsHL8.pt-BR.vtt 1.2 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/28. Conclusion-gMbDqd4ItiU.en.vtt 1.2 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/06. DL 53 Q Regularization-KxROxcRsHL8.en.vtt 1.2 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/08. 08 Matrix Modification Quiz V1-e3zpWlM9IRg.en.vtt 1.1 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/09. Local Minima-gF_sW_nY-xw.en.vtt 1.1 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.en.vtt 1.1 KB
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/09. 09 Matrix Modification Solution V1-ntK0oz35VPQ.en.vtt 1.1 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/16. Error Functions Around the World-34AAcTECu2A.zh-CN.vtt 1.1 KB
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/07. Forget Gate-iWxpfxLUPSU.zh-CN.vtt 1.1 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/14. Learning Rate-TwJ8aSZoh2U.en.vtt 1.1 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/09. Training The Neural Network-HwiI-UXUx-M.en.vtt 1.1 KB
- Part 04-Module 01-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.pt-PT.vtt 1.1 KB
- Part 04-Module 01-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.pt.vtt 1.1 KB
- Part 04-Module 01-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.es-ES.vtt 1.1 KB
- Part 04-Module 01-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.es.vtt 1.1 KB
- Part 03-Module 01-Lesson 07_Image Captioning/11. 09 On To The Project V2-MsxNRaYTNSk.en.vtt 1.1 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/18. Rate Gyros-TmnecSf80b0.zh-CN.vtt 1.1 KB
- Part 04-Module 01-Lesson 02_Robot Localization/21. 18 Exact Motion V1-mNXm1wjTumY.en.vtt 1.1 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/16. Error Functions Around the World-34AAcTECu2A.pt-BR.vtt 1.1 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/03. Survival Rate-QPlp3NeGuSk.pt-BR.vtt 1.1 KB
- Part 04-Module 01-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.it.vtt 1.1 KB
- Part 04-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.ja-JP.vtt 1.1 KB
- Part 04-Module 01-Lesson 01_Introduction to Motion/02. Localization V1 (1)-QkVyEMTUkAw.zh-CN.vtt 1.1 KB
- Part 04-Module 01-Lesson 02_Robot Localization/04. 概率分布入门 1-gqPjMDVFvNg.en.vtt 1.1 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/06. 06 Image Challenge V3-Efnoj1KNPHw.en.vtt 1.1 KB
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/28. Conclusion-gMbDqd4ItiU.zh-CN.vtt 1.1 KB
- Part 04-Module 01-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.ja-JP.vtt 1.1 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/09. Local Minima-gF_sW_nY-xw.pt-BR.vtt 1.0 KB
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/01. Intro-1sm1EbfilXI.en.vtt 1.0 KB
- Part 04-Module 01-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.ja.vtt 1.0 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.ja.vtt 1.0 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.ja-JP.vtt 1.0 KB
- Part 04-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.es-ES.vtt 1.0 KB
- Part 04-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.es.vtt 1.0 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/01. 矩阵介绍-Ugx3mldc0lE.en.vtt 1.0 KB
- Part 04-Module 01-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.en.vtt 1.0 KB
- Part 04-Module 01-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.zh-CN.vtt 1.0 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/01. 矩阵介绍-Ugx3mldc0lE.zh-CN.vtt 1.0 KB
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.pt-BR.vtt 1.0 KB
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.es-ES.vtt 1.0 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/06. DL 53 Q Regularization-KxROxcRsHL8.zh-CN.vtt 1.0 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/09. Local Minima-gF_sW_nY-xw.zh-CN.vtt 1.0 KB
- Part 06-Module 01-Lesson 02_Training Neural Networks/14. Learning Rate-TwJ8aSZoh2U.zh-CN.vtt 1020 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.en.vtt 1013 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.pt-PT.vtt 1010 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.pt.vtt 1007 bytes
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.en.vtt 1003 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/03. Survival Rate-QPlp3NeGuSk.zh-CN.vtt 996 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/09. Training The Neural Network-HwiI-UXUx-M.zh-CN.vtt 995 bytes
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/01. Intro-1sm1EbfilXI.zh-CN.vtt 985 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.en.vtt 983 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.it.vtt 982 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.ja-JP.vtt 982 bytes
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/08. 08 Matrix Modification Quiz V1-e3zpWlM9IRg.zh-CN.vtt 982 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/12. KALMAN QUIZ Predicting The Peak 01 RENDER V1-_fGH3xJMxdM.en.vtt 979 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/09. Training The Neural Network-HwiI-UXUx-M.pt-BR.vtt 977 bytes
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/09. 09 Matrix Modification Solution V1-ntK0oz35VPQ.zh-CN.vtt 970 bytes
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/05. 05 Implementing Constraints Solution V1-uLmGavXEN64.en.vtt 968 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.it.vtt 966 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.zh-CN.vtt 965 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.ja.vtt 964 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.es-ES.vtt 961 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.pt-PT.vtt 961 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.pt.vtt 958 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/21. 18 Exact Motion V1-mNXm1wjTumY.zh-CN.vtt 954 bytes
- Part 10-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.zh-CN.vtt 953 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.ja.vtt 951 bytes
- Part 04-Module 01-Lesson 05_Representing State and Motion/24. Working With Matrices-nruxu8pr6i8.en.vtt 951 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.zh-CN.vtt 948 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/20. Solution ROC Curve-sdUUf6RRmXI.en.vtt 943 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/04. 概率分布入门 1-gqPjMDVFvNg.zh-CN.vtt 942 bytes
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/05. Transposed Convolutions-K6mlLX8ZZDs.en.vtt 942 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.en.vtt 940 bytes
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/06. 06 Adding Landmarks Quiz V1-_JUCLtoh1CE.en.vtt 937 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/06. 06 Image Challenge V3-Efnoj1KNPHw.pt-BR.vtt 937 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.ja.vtt 928 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.ja-JP.vtt 924 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/06. 06 Image Challenge V3-Efnoj1KNPHw.zh-CN.vtt 920 bytes
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/24. Trigonometry And Vehicle Motion-WY3T-9GHI_0.en.vtt 914 bytes
- Part 03-Module 01-Lesson 07_Image Captioning/11. 09 On To The Project V2-MsxNRaYTNSk.zh-CN.vtt 913 bytes
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/09. Semantic Segmentation-_L5gJnZrw48.en.vtt 905 bytes
- Part 04-Module 01-Lesson 05_Representing State and Motion/08. Lesson Outline-jh7wLGXrm3E.en.vtt 904 bytes
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/24. Trigonometry And Vehicle Motion-WY3T-9GHI_0.ja-JP.vtt 904 bytes
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/11. Scene Understanding-aMQREc-mP50.en.vtt 896 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.zh-CN.vtt 891 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.zh-CN.vtt 874 bytes
- Part 06-Module 01-Lesson 02_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.pt-BR.vtt 874 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/01. Introduction-ZCpXvVdIdnY.en.vtt 874 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.es-ES.vtt 869 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/08. Solution Data Challenges-1z3o4niQuNg.en.vtt 867 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/12. KALMAN QUIZ Predicting The Peak 01 RENDER V1-_fGH3xJMxdM.zh-CN.vtt 859 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/01. Introduction-ZCpXvVdIdnY.pt-BR.vtt 857 bytes
- Part 04-Module 01-Lesson 05_Representing State and Motion/24. Working With Matrices-nruxu8pr6i8.zh-CN.vtt 853 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.en.vtt 853 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/14. Solution Sensitivty And Specificity-GBZjyeMjKxc.en.vtt 850 bytes
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/05. Transposed Convolutions-K6mlLX8ZZDs.zh-CN.vtt 850 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.en.vtt 846 bytes
- Part 03-Module 01-Lesson 02_YOLO/09. 07 Too Many Boxes V2-nYDWsFdFnQ8.en.vtt 844 bytes
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/11. Scene Understanding-aMQREc-mP50.zh-CN.vtt 844 bytes
- Part 06-Module 01-Lesson 02_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.zh-CN.vtt 840 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/20. Solution ROC Curve-sdUUf6RRmXI.zh-CN.vtt 829 bytes
- Part 04-Module 01-Lesson 05_Representing State and Motion/08. Lesson Outline-jh7wLGXrm3E.zh-CN.vtt 824 bytes
- Part 06-Module 01-Lesson 02_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.en.vtt 824 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/01. Introduction-ZCpXvVdIdnY.zh-CN.vtt 822 bytes
- Part 03-Module 01-Lesson 02_YOLO/09. 07 Too Many Boxes V2-nYDWsFdFnQ8.zh-CN.vtt 821 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.es-ES.vtt 819 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/13. KALMAN QUIZ Predicting The Peak 02 RENDER V1-mcwr6FcP2Vc.en.vtt 815 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.ar.vtt 812 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.ja-JP.vtt 812 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/08. Solution Data Challenges-1z3o4niQuNg.zh-CN.vtt 810 bytes
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/15. Outro-vyNI5hdMigs.en.vtt 805 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.en.vtt 791 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.es-ES.vtt 789 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.es.vtt 787 bytes
- Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/24. Trigonometry And Vehicle Motion-WY3T-9GHI_0.zh-CN.vtt 787 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.en.vtt 786 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.it.vtt 785 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.zh-CN.vtt 779 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.ja-JP.vtt 777 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/14. Solution Sensitivty And Specificity-GBZjyeMjKxc.pt-BR.vtt 772 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.ar.vtt 768 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/14. Solution Sensitivty And Specificity-GBZjyeMjKxc.zh-CN.vtt 766 bytes
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/06. 06 Adding Landmarks Quiz V1-_JUCLtoh1CE.zh-CN.vtt 764 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.en.vtt 762 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.ja-JP.vtt 761 bytes
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/09. Semantic Segmentation-_L5gJnZrw48.zh-CN.vtt 758 bytes
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/05. 05 Implementing Constraints Solution V1-uLmGavXEN64.zh-CN.vtt 754 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.pt-BR.vtt 754 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.zh-CN.vtt 746 bytes
- Part 08-Module 01-Lesson 01_Sentiment Analysis/01. Introducing Andrew Trask-ltO71Bm8b3M.en.vtt 746 bytes
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/08. Moving Forward V4-E35QVmp1f2k.en.vtt 736 bytes
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/02. QUIZ Kalman Filter Prediction 02 RENDER V2-OelWLjfdSyw.en.vtt 736 bytes
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/08. Remember Gate-0qlm86HaXuU.en.vtt 734 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.zh-CN.vtt 734 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/08. Solution Data Challenges-1z3o4niQuNg.pt-BR.vtt 730 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.zh-CN.vtt 729 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.it.vtt 724 bytes
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/10. 10 Untouched Fields QUIZ RENDER V2-V9qbWSqqKwg.en.vtt 723 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.ja.vtt 722 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.zh-CN.vtt 717 bytes
- Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation/15. Outro-vyNI5hdMigs.zh-CN.vtt 708 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.pt-BR.vtt 705 bytes
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/08. Remember Gate-0qlm86HaXuU.pt-BR.vtt 700 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.ja.vtt 697 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.es-ES.vtt 695 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.es.vtt 693 bytes
- Part 01-Module 01-Lesson 01_Welcome to Computer Vision/08. Moving Forward V4-E35QVmp1f2k.zh-CN.vtt 688 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/13. KALMAN QUIZ Predicting The Peak 02 RENDER V1-mcwr6FcP2Vc.zh-CN.vtt 686 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.pt-PT.vtt 685 bytes
- Part 08-Module 01-Lesson 01_Sentiment Analysis/01. Introducing Andrew Trask-ltO71Bm8b3M.zh-CN.vtt 685 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.pt.vtt 682 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.en.vtt 680 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.ar.vtt 678 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.pt-BR.vtt 678 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.ja-JP.vtt 674 bytes
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/10. 10 Untouched Fields QUIZ RENDER V2-V9qbWSqqKwg.zh-CN.vtt 660 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.en.vtt 659 bytes
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/07. 07 Adding Landmarks Solution V1-vDfQNdUSclA.en.vtt 647 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/20. Solution ROC Curve-sdUUf6RRmXI.pt-BR.vtt 643 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.pt-PT.vtt 641 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.pt.vtt 639 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.en.vtt 634 bytes
- Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/08. Remember Gate-0qlm86HaXuU.zh-CN.vtt 632 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.en.vtt 632 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.ja.vtt 623 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.zh-CN.vtt 623 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.ja-JP.vtt 610 bytes
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/02. QUIZ Kalman Filter Prediction 02 RENDER V2-OelWLjfdSyw.zh-CN.vtt 609 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.ar.vtt 608 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.ja-JP.vtt 599 bytes
- Part 10-Module 01-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.en.vtt 593 bytes
- Part 10-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.en.vtt 583 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.es-ES.vtt 575 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.es.vtt 573 bytes
- Part 10-Module 01-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.zh-CN.vtt 572 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.zh-CN.vtt 556 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.pt-BR.vtt 551 bytes
- Part 04-Module 01-Lesson 03_Mini-project 2D Histogram Filter/01. Project Overview-uaWZNKGTtgM.en.vtt 549 bytes
- Part 10-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.zh-CN.vtt 544 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.ar.vtt 542 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.pt-BR.vtt 538 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction-Rgf3YVFWl-M.pt-BR.vtt 538 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.zh-CN.vtt 533 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/07. 07 Quiz Data Challenges V1-F8yc7BlV93c.en.vtt 526 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.bn.vtt 518 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.zh-CN.vtt 517 bytes
- Part 04-Module 01-Lesson 03_Mini-project 2D Histogram Filter/01. Project Overview-uaWZNKGTtgM.zh-CN.vtt 511 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction-Rgf3YVFWl-M.en.vtt 510 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.en.vtt 508 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.pt-PT.vtt 506 bytes
- Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping/07. 07 Adding Landmarks Solution V1-vDfQNdUSclA.zh-CN.vtt 505 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.en.vtt 505 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.en.vtt 503 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.pt.vtt 503 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.en.vtt 501 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.it.vtt 501 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.ja.vtt 500 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/10. 11 Normalize Distribution V1-ZGvmFn_u56o.en.vtt 497 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.ja-JP.vtt 493 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.ja-JP.vtt 492 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt 490 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.ja-JP.vtt 487 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.zh-CN.vtt 487 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.zh-CN.vtt 487 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/07. 07 Quiz Data Challenges V1-F8yc7BlV93c.pt-BR.vtt 482 bytes
- Part 06-Module 01-Lesson 02_Training Neural Networks/10. Random Restart-idyBBCzXiqg.pt-BR.vtt 478 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.en.vtt 476 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction-Rgf3YVFWl-M.zh-CN.vtt 475 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.ja-JP.vtt 473 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.zh-CN.vtt 473 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.pt-BR.vtt 472 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/07. 07 Quiz Data Challenges V1-F8yc7BlV93c.zh-CN.vtt 468 bytes
- Part 06-Module 01-Lesson 02_Training Neural Networks/10. Random Restart-idyBBCzXiqg.en.vtt 466 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.pt-BR.vtt 460 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.pt-BR.vtt 457 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.zh-CN.vtt 456 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.pt-BR.vtt 453 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.zh-CN.vtt 438 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.en.vtt 435 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/10. 11 Normalize Distribution V1-ZGvmFn_u56o.zh-CN.vtt 424 bytes
- Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.pt-BR.vtt 420 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.en.vtt 419 bytes
- Part 06-Module 01-Lesson 02_Training Neural Networks/10. Random Restart-idyBBCzXiqg.zh-CN.vtt 419 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.zh-CN.vtt 410 bytes
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/03. QUIZ Another Prediction 02 RENDER V1-RfzQ5MbVNeQ.en.vtt 410 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.es-ES.vtt 408 bytes
- Part 10-Module 01-Lesson 05_Python and C++ Speed/01. Introduction-JklGKdn3_go.zh-CN.vtt 402 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.en.vtt 397 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.zh-CN.vtt 392 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.pt-PT.vtt 387 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.pt.vtt 384 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.es-ES.vtt 378 bytes
- 0. Websites you may like/0. (1Hack.Us) Premium Tutorials-Guides-Articles _ Community based Forum.url 377 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.ja-JP.vtt 377 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.ja-JP.vtt 376 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.ja-JP.vtt 375 bytes
- Part 10-Module 01-Lesson 05_Python and C++ Speed/01. Introduction-JklGKdn3_go.en.vtt 375 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.en.vtt 371 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.zh-CN.vtt 367 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.ja.vtt 365 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.es-ES.vtt 362 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.it.vtt 361 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.ja-JP.vtt 360 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.es.vtt 359 bytes
- Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.zh-CN.vtt 357 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.ja.vtt 356 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.it.vtt 352 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.es-ES.vtt 351 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.pt-PT.vtt 351 bytes
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/03. QUIZ Another Prediction 02 RENDER V1-RfzQ5MbVNeQ.zh-CN.vtt 350 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.zh-CN.vtt 349 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.en.vtt 348 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.pt.vtt 348 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.es-ES.vtt 348 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.it.vtt 345 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.zh-CN.vtt 344 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.pt-PT.vtt 341 bytes
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/03. QUIZ Another Prediction 01 RENDER V1-wdSkHh-6U4Y.en.vtt 341 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.ja.vtt 340 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.ja.vtt 340 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.pt.vtt 338 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.en.vtt 337 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.it.vtt 320 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.ja.vtt 319 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.ja-JP.vtt 317 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.es-ES.vtt 314 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.en.vtt 313 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.es-ES.vtt 310 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.zh-CN.vtt 309 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.ja-JP.vtt 309 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.ja.vtt 304 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.en.vtt 297 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.it.vtt 295 bytes
- Part 04-Module 01-Lesson 04_Introduction to Kalman Filters/22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.zh-CN.vtt 292 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.en.vtt 290 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.pt-PT.vtt 287 bytes
- 0. Websites you may like/1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url 286 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.pt.vtt 284 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.ja-JP.vtt 278 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.en.vtt 263 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.ja.vtt 262 bytes
- Part 04-Module 01-Lesson 06_Matrices and Transformation of State/03. QUIZ Another Prediction 01 RENDER V1-wdSkHh-6U4Y.zh-CN.vtt 262 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.pt-PT.vtt 255 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.zh-CN.vtt 255 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.pt.vtt 252 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.zh-CN.vtt 250 bytes
- 0. Websites you may like/3. (FTUApps.com) Download Cracked Developers Applications For Free.url 239 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.es-ES.vtt 218 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.es-MX.vtt 216 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.it.vtt 215 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.ja-JP.vtt 215 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.ja.vtt 211 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.pt-PT.vtt 209 bytes
- 0. Websites you may like/How you can help our Group!.txt 208 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.pt.vtt 206 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.en.vtt 203 bytes
- Part 04-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.zh-CN.vtt 175 bytes
Download Torrent
Related Resources
Copyright Infringement
If the content above is not authorized, please contact us via anywarmservice[AT]gmail.com. Remember to include the full url in your complaint.