[FreeCoursesOnline.Me] [UDACITY] PyTorch Scholarship Challenge - [FCO]
File List
- Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/01. Origins Of PyTorch V2-0eLXNFv6aT8.mp4 30.0 MB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/20. PyTorch - Part 8-S9F7MtJ5jls.mp4 29.5 MB
- Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/04. Hybrid Frontend And JIT Compiler-J4z-P8yUZu4.mp4 22.9 MB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/10. PyTorch V2 Part 3 Solution V2-zBWlOeX2sQM.mp4 21.3 MB
- Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/03. From Research To Production-eCysOAw8azs.mp4 20.8 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/27. Convolutional Layers-RnM1D-XI--8.mp4 19.8 MB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/09. PyTorch V2 Part 3 V1-9ILiZwbi9dA.mp4 18.8 MB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/21. PyTorch V2 Part 8 Solution V1-4n6T93hKRD4.mp4 18.5 MB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/20. 07 CharRNN Solution V1-ed33qePHrJM.mp4 18.3 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/02. Applications of CNNs-HrYNL_1SV2Y.mp4 17.7 MB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/08. PyTorch V2 Part 2 Solution 2 V1-8KRX7HvqfP0.mp4 16.7 MB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/17. 04 Implementing CharRNN V2-MMtgZXzFB10.mp4 16.4 MB
- Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/05. Cutting-Edge Applicationns In PyTorch-s8p6vqOubqw.mp4 15.9 MB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/15. PyTorch V2 Part 5 Solution V1-AjrXltxqsK4.mp4 15.8 MB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/17. PyTorch - Part 6-3ZJfo2bR-uw.mp4 15.8 MB
- Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/06. User Needs And Adding Features-7HH65_c7Acw.mp4 15.8 MB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/03. PyTorch V2 Part 1 Solution V1-mNJ8CujTtpo.mp4 15.7 MB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/12. 02 Time Series Prediction V2-xV5jHLFfJbQ.mp4 15.4 MB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/18. PyTorch - Part 7-hFu7GTfRWks.mp4 15.1 MB
- Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/08. The Future Of PyTorch-vfCg3FoOjE4.mp4 14.5 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/15. 11 Validation Loss V2-uGPP_-pbBsc.mp4 14.2 MB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/14. PyTorch V2 Part 5 V1 (1)-XACXlkIdS7Y.mp4 13.9 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/18. Local Connectivity-z9wiDg0w-Dc.mp4 13.1 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/36. 23 Cifar Class V1-FF_EmZ2sf2w.mp4 12.8 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/29. 24 CNNs PyTorch V2-GNxzWfiz3do.mp4 12.6 MB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/21. 08 Making Predictions V3-BhrpV3kwATo.mp4 12.4 MB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/02. PyTorch V2 Part 1 V1-6Z7WntXays8.mp4 12.3 MB
- Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/02. Debugging And Designing PyTorch-Nn8140ECzPU.mp4 11.7 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/13. 09 One Solution V2-7q37WPjQhDA.mp4 11.6 MB
- Part 01-Module 01-Lesson 09_Deploying PyTorch Models/06. PyTorch C API V2-P1S1dN1gHmw.mp4 11.4 MB
- Part 01-Module 01-Lesson 06_Style Transfer/07. 6 VGG Features V1-Q5N2NEv7ADc.mp4 11.1 MB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/06. PyTorch V2 Part 2 V1-CSQOdOb2mlg.mp4 10.8 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/10. 07 Training The Network V1-904bfqibcCw.mp4 10.5 MB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/04. 3 Data PreProcessing V1-Xw1MWmql7no.mp4 10.1 MB
- Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/09. Learning Ai-NMItGw0GFGM.mp4 10.0 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/09. 06 Defining A Network V1-9gvaQvyfLfY.mp4 9.8 MB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/13. 03 Training Memory V1-sx7T_KP5v9I.mp4 9.6 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/42. Visualizing CNNs-mnqS_EhEZVg.mp4 9.2 MB
- Part 01-Module 01-Lesson 06_Style Transfer/02. 02 SeparatingStyleandContent V2-PNFFAhymuHc.mp4 9.2 MB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/19. 06 Defining Model V2-_LWzyqq4hCY.mp4 9.0 MB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/09. 8 TensorDataset Batching V1-Oxuf2QIPjj4.mp4 9.0 MB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/07. PyTorch V2 Part 2 Solution V1-zym36ihtOMY.mp4 8.7 MB
- Part 01-Module 01-Lesson 09_Deploying PyTorch Models/04. PyTorch Script Tracing V1-lYmQDUprQa0.mp4 8.4 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/22. High-pass Filters-OpcFn_H2V-Q.mp4 8.2 MB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/13. PyTorch V2 Part 4 Solution V1-R6Y4hPLVQWM.mp4 8.2 MB
- Part 01-Module 01-Lesson 06_Style Transfer/03. 03 ContentRepandStyleTransfer V3-PQ1UuzOIjCM.mp4 7.9 MB
- Part 01-Module 01-Lesson 06_Style Transfer/04. 41 GramMatrixStyleTransfer V3-e718uVAW3KU.mp4 7.8 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/40. 26 Augmentation V1-J_gjHVt9pVw.mp4 7.6 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/41. Regularization-ndYnUrx8xvs.mp4 7.6 MB
- Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/07. PyTorch And The Facebook Product-TjVveb0iVrA.mp4 7.5 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/01. Introduction-tn-CrUTkCUc.mp4 7.5 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/41. Groundbreaking CNN Architectures-GdYOqihgb2k.mp4 7.3 MB
- Part 01-Module 01-Lesson 09_Deploying PyTorch Models/05. PyTorch Script Annotation V2-pO1RM7mKaFg.mp4 7.2 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/13. Error Functions-jfKShxGAbok.mp4 7.2 MB
- Part 01-Module 01-Lesson 06_Style Transfer/11. 9 Defining Loss V1-lix8d3B2QcE.mp4 7.2 MB
- Part 01-Module 01-Lesson 06_Style Transfer/12. 10 Loss Solution V1-DzaQm9awcwY.mp4 7.2 MB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/19. PyTorch V2 Part 7 Solution V1-d_NhvI1yEf0.mp4 6.8 MB
- Part 01-Module 01-Lesson 09_Deploying PyTorch Models/03. PyTorch For Production V1-DBSoZWd4lQo.mp4 6.7 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/20. CrossEntropy V1-1BnhC6e0TFw.mp4 6.6 MB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/04. PyTorch V2 Part 1 Solution 2 V1-QLaGMz8Ca3E.mp4 6.6 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/08. ConNet 05 Loss&Optimization V1 V3-BmPDtSXv18w.mp4 6.5 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. Backpropagation V2-1SmY3TZTyUk.mp4 6.5 MB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/05. 4 EncodingWords Sol V1-4RYyn3zv1Hg.mp4 6.4 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/38. Underfitting And Overfitting-xj4PlXMsN-Y.mp4 6.4 MB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/07. 6 Cleaning And Padding V1-UgPo1_cq-0g.mp4 6.4 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/28. 17 Stride And Padding RENDER V1-GmStpNi8jBI.mp4 6.1 MB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/05. PyTorch V2 Part 1 Solution 3 V1-iMIo9p5iSbE.mp4 5.9 MB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/18. 05 Batching Data V1-9Eg0wf3eW-k.mp4 5.8 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/33. 21 CNNs For Image Classification RENDER V2-smaw5GqRaoY.mp4 5.8 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/17. Maximum Likelihood 1-1yJx-QtlvNI.mp4 5.7 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4 5.7 MB
- Part 01-Module 01-Lesson 06_Style Transfer/09. 7 Feats Gram Matrix V1-f89x9oAh6X0.mp4 5.6 MB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/10. 9 DefiningModel V1-SpvIZl1YQRI.mp4 5.6 MB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/08. 7 PaddedFeatures Sol V1-sYOd1IDmep8.mp4 5.5 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/35. ConNet 22 Feature Vector RENDER 1 V2-g6QuiVno8zI.mp4 5.4 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/14. Discrete vs. Continuous-Rm2KxFaPiJg.mp4 5.3 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/32. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4 5.3 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp4 5.1 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/39. Image Augmentation In Keras-zQnx2jZmjTA.mp4 4.9 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/32. ConNet 20 Increasing Depth V2 RENDERv1 1 V2-YKif1KNpWeE.mp4 4.9 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/39. Model Complexity Graph-NnS0FJyVcDQ.mp4 4.9 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/22. Error Function-V5kkHldUlVU.mp4 4.8 MB
- Part 01-Module 01-Lesson 06_Style Transfer/10. 8 Gram Matrix Sol V1-uncCKMI5Yns.mp4 4.8 MB
- Part 01-Module 01-Lesson 06_Style Transfer/06. 05 LossWeightsStyleTransfer V2-qO8oiZBtG1I.mp4 4.8 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. Combinando modelos-Boy3zHVrWB4.mp4 4.7 MB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/06. 5 GettingRid ZeroLength V1-Hs6ithuvDJg.mp4 4.6 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/05. ConNet 022 How Computers Interpret Images V1-mEPfoM68Fx4.mp4 4.4 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/17. ConNet 14 MLPvsCNN V1 V2-Q7CR3cCOtJQ.mp4 4.2 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/19. Cross Entropy 1-iREoPUrpXvE.mp4 4.2 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/42. Dropout-Ty6K6YiGdBs.mp4 4.2 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp4 4.1 MB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/03. LSTM Basics-gjb68a4XsqE.mp4 4.0 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/07. 04 Do Your Research V1-CR4JeAn1fgk.mp4 4.0 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/15. DL 18 Q Softmax V2-RC_A9Tu99y4.mp4 4.0 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/47. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp4 4.0 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/04. Linear Boundaries-X-uMlsBi07k.mp4 3.8 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/17. Maximum Likelihood 2-6nUUeQ9AeUA.mp4 3.8 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/23. Gradient Descent-rhVIF-nigrY.mp4 3.8 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/44. ConNet 27 Summary Of CNNs V2 RENDER V3-Te9QCvhx6N8.mp4 3.7 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4 3.7 MB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/02. RNN Vs LSTM-70MgF-IwAr8.mp4 3.6 MB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/11. PyTorch V2 Part 3 Solution 2 V1-ExyFG2MjsKs.mp4 3.6 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/12. Error Functions-YfUUunxWIJw.mp4 3.5 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/20. ConNet 16 FIlters & Edges V2-hfqNqcEU6uI.mp4 3.5 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.09.24-pm.png 3.5 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/14. ConNet10 ModelValidation V1 V2-b5934VsV3SA.mp4 3.3 MB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/12. PyTorch - Part 4-AEJV_RKZ7VU.mp4 3.3 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. Calculating The Gradient 1 -tVuZDbUrzzI.mp4 3.3 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/27. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.mp4 3.2 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. Layers-pg99FkXYK0M.mp4 3.1 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.09.02-pm.png 3.1 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/18. Quiz - Cross 1--xxrisIvD0E.mp4 3.0 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/30. 18 Pooling RENDER V1-_Ok5xZwOtrk.mp4 3.0 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/36. Training Optimization-UiGKhx9pUYc.mp4 3.0 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/19. 15 Filters And Convo RENDER V2-x_dhnhUzFNo.mp4 2.9 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.08.11-pm.png 2.9 MB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/14. Character-Wise RNN-dXl3eWCGLdU.mp4 2.9 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/10. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.mp4 2.9 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/06. ConNet 03 MLPStructure&ClassScore V1 V1-fP0Odiai8sk.mp4 2.9 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4 2.8 MB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/16. PyTorch V2 Part 5 Solution 2 V1-3Py2SbtZLbc.mp4 2.8 MB
- Part 01-Module 01-Lesson 06_Style Transfer/01. 01 StyleTransfer V3-_urN9BQ7RHM.mp4 2.7 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/08. AND And OR Perceptrons-45K5N0P9wJk.mp4 2.7 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/05. 09 Higher Dimensions-eBHunImDmWw.mp4 2.6 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/04. ConNet 021 MNISTClassification V1 V2-a7bvIGZpcnk.mp4 2.4 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/16. ConNet 13 ImageClassification V1 V2-UHFBnitKraA.mp4 2.4 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/03. ConNet 01 LessonOutline V1 V1-77LzWE1qQrc.mp4 2.3 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/46. Other Activation Functions-kA-1vUt6cvQ.mp4 2.3 MB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/15. Sequence-Batching-Z4OiyU0Cldg.mp4 2.3 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/14. Discrete vs Continuous-rdP-RPDFkl0.mp4 2.3 MB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/05. Learn Gate-aVHVI7ovbHY.mp4 2.2 MB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/01. 1 SentimentRNN Intro V1-bQWUuaMc9ZI.mp4 2.2 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/49. Momentum-r-rYz_PEWC8.mp4 2.1 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/29. Non-Linear Data-F7ZiE8PQiSc.mp4 2.1 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/20. Formula For Cross 1-qvr_ego_d6w.mp4 2.1 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/02. Classsification Example-Dh625piH7Z0.mp4 2.1 MB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/01. Introducing Alexis-38ExGpdyvJI.mp4 2.1 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/37. Testing-EeBZpb-PSac.mp4 2.0 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/24. Gradient Descent Algorithm-snxmBgi_GeU.mp4 2.0 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/15. DL 18 S Softmax-n8S-v_LCTms.mp4 1.9 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/09. Perceptron Algorithm--zhTROHtscQ.mp4 1.9 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. Multiclass Classification-uNTtvxwfox0.mp4 1.9 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/18. Quiz Cross Entropy-njq6bYrPqSU.mp4 1.9 MB
- Part 01-Module 01-Lesson 09_Deploying PyTorch Models/02. PyTorch 10 Install V1-kIwKPxgReFY.mp4 1.8 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/50. Error Functions Around the World-34AAcTECu2A.mp4 1.7 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/15. Quiz - Softmax-NNoezNnAMTY.mp4 1.7 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/32. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4 1.7 MB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/10. Other Architectures-MsxFDuYlTuQ.mp4 1.7 MB
- Part 01-Module 01-Lesson 06_Style Transfer/05. 42 StyleLossStyleTransfer V2-VazrQ7u-OHo.mp4 1.7 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/16. One-Hot Encoding-AePvjhyvsBo.mp4 1.6 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/03. Classification Example-46PywnGa_cQ.mp4 1.6 MB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/09. Putting It All Together-IF8FlKW-Zo0.mp4 1.6 MB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/08. LSTM 7 Use Gate-5Ifolm1jTdY.mp4 1.5 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.mp4 1.5 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. Chain Rule-YAhIBOnbt54.mp4 1.5 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/11. Non-Linear Regions-B8UrWnHh1Wc.mp4 1.3 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/45. Vanishing Gradient-W_JJm_5syFw.mp4 1.3 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/28. Continuous Perceptrons-07-JJ-aGEfM.mp4 1.1 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/30. Non-Linear Models-HWuBKCZsCo8.mp4 1.1 MB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/04. LSTM Architecture-ycwthhdx8ws.mp4 1.1 MB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/06. Forget Gate-iWxpfxLUPSU.mp4 1.0 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/40. DL 53 Q Regularization-KxROxcRsHL8.mp4 1.0 MB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/07. Why Neural Networks-zAkzOZntK6Y.mp4 982.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/08. XOR Perceptron-TF83GfjYLdw.mp4 947.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/48. Learning Rate-TwJ8aSZoh2U.mp4 927.0 KB
- Part 01-Module 01-Lesson 01_Welcome to the Scholarship Challenge!/img/udacitypytorch-welcomepage-image-v2.png 847.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/43. Local Minima-gF_sW_nY-xw.mp4 819.9 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/img/student-quiz.png 749.0 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/07. Remember Gate-0qlm86HaXuU.mp4 676.9 KB
- img/hero-bg-1.png 635.5 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/img/and-to-or.png 606.1 KB
- Part 01-Module 01-Lesson 09_Deploying PyTorch Models/img/sebastian-dlnd-card.png 572.9 KB
- assets/img/udacimak.png 461.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/img/screen-shot-2018-09-24-at-3.18.33-pm.png 458.9 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/44. Random Restart-idyBBCzXiqg.mp4 395.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/img/or-quiz.png 393.6 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/img/dancing-beemo.gif 318.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/img/screen-shot-2018-09-10-at-7.38.39-pm.png 296.3 KB
- Part 01-Module 01-Lesson 01_Welcome to the Scholarship Challenge!/img/students-first.png 293.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/img/and-quiz.png 265.8 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4 260.0 KB
- assets/js/katex.min.js 231.3 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/img/full-padding-no-strides-transposed.gif 221.7 KB
- Part 01-Module 01-Lesson 01_Welcome to the Scholarship Challenge!/img/pytorch-project-image.png 219.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/img/xor.png 215.0 KB
- Part 01-Module 01-Lesson 01_Welcome to the Scholarship Challenge!/img/meme.png 209.0 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/img/meme.png 209.0 KB
- Part 01-Module 01-Lesson 10_Challenge Project/img/meme.png 209.0 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/img/screen-shot-2018-05-31-at-2.59.36-pm.png 192.7 KB
- Part 01-Module 01-Lesson 01_Welcome to the Scholarship Challenge!/img/mat-headshot.png 180.0 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/img/mat-headshot.png 180.0 KB
- Part 01-Module 01-Lesson 09_Deploying PyTorch Models/img/mat-headshot.png 180.0 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/img/screen-shot-2018-05-31-at-3.06.07-pm.png 169.9 KB
- Discuss.FreeTutorials.Us.html 165.7 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/img/screen-shot-2018-11-05-at-11.33.57-am.png 153.9 KB
- assets/css/bootstrap.min.css 137.6 KB
- Part 01_Deep Learning with PyTorch/Module 01_Lessons/Lesson 02_Introduction to Neural Networks/data.json 137.3 KB
- assets/js/plyr.polyfilled.min.js 126.2 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/img/relu-ex.png 121.0 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/img/screen-shot-2018-10-15-at-8.35.15-pm.png 120.0 KB
- Part 01-Module 01-Lesson 10_Challenge Project/media/Upload+image.png 115.1 KB
- Part 01_Deep Learning with PyTorch/Module 01_Lessons/Lesson 05_Convolutional Neural Networks/data.json 112.5 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/img/screen-shot-2018-09-24-at-3.17.56-pm.png 112.5 KB
- FreeCoursesOnline.Me.html 108.3 KB
- Part 01-Module 01-Lesson 01_Welcome to the Scholarship Challenge!/img/scholarships-team.png 107.1 KB
- FreeTutorials.Eu.html 102.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/img/xor-quiz.png 94.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/img/perceptronquiz.png 93.7 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/img/regularization-quiz.png 87.9 KB
- assets/js/jquery-3.3.1.min.js 84.9 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/img/screen-shot-2018-11-06-at-2.30.04-pm.png 75.9 KB
- Part 01-Module 01-Lesson 10_Challenge Project/img/image-04549.jpg 72.2 KB
- assets/css/fonts/KaTeX_AMS-Regular.ttf 69.8 KB
- assets/css/fonts/KaTeX_Main-Regular.ttf 68.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/img/points.png 63.2 KB
- assets/css/fonts/KaTeX_Main-Bold.ttf 60.3 KB
- Part 01-Module 01-Lesson 01_Welcome to the Scholarship Challenge!/img/cezanne-head.jpg 59.5 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/img/cezanne-head.jpg 59.5 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/img/cezanne-head.jpg 59.5 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/img/screen-shot-2018-11-06-at-2.48.40-pm.png 58.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/img/screen-shot-2018-05-31-at-3.07.03-pm.png 52.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/img/screen-shot-2017-06-26-at-10.44.50-am.png 50.6 KB
- assets/js/bootstrap.min.js 49.8 KB
- assets/css/fonts/KaTeX_Main-Italic.ttf 46.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/img/layer-1-grid.png 45.7 KB
- Part 01_Deep Learning with PyTorch/Module 01_Lessons/Lesson 08_Sentiment Prediction with RNNs/data.json 45.7 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/img/screen-shot-2017-11-16-at-4.31.41-pm.png 44.9 KB
- assets/js/jquery.mCustomScrollbar.concat.min.js 44.4 KB
- assets/css/fonts/KaTeX_Main-BoldItalic.ttf 43.8 KB
- assets/css/jquery.mCustomScrollbar.min.css 41.8 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/img/screen-shot-2017-11-16-at-4.26.22-pm.png 41.2 KB
- assets/css/fonts/KaTeX_Math-Italic.ttf 40.5 KB
- assets/css/fonts/KaTeX_AMS-Regular.woff 39.3 KB
- assets/css/fonts/KaTeX_Math-BoldItalic.ttf 38.8 KB
- assets/css/fonts/KaTeX_Main-Regular.woff 38.5 KB
- Part 01_Deep Learning with PyTorch/Module 01_Lessons/Lesson 07_Recurrent Neural Networks/data.json 37.7 KB
- assets/css/fonts/KaTeX_Main-Bold.woff 35.9 KB
- assets/css/fonts/KaTeX_Typewriter-Regular.ttf 35.5 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/img/grid-layer-1.png 35.3 KB
- assets/css/fonts/KaTeX_Fraktur-Bold.ttf 35.1 KB
- assets/css/fonts/KaTeX_Fraktur-Regular.ttf 33.8 KB
- assets/css/fonts/KaTeX_SansSerif-Bold.ttf 33.2 KB
- assets/css/fonts/KaTeX_AMS-Regular.woff2 32.4 KB
- assets/css/fonts/KaTeX_Main-Regular.woff2 32.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/img/opencv-logo-with-text.png 31.2 KB
- assets/css/fonts/KaTeX_SansSerif-Italic.ttf 30.6 KB
- assets/css/fonts/KaTeX_Main-Bold.woff2 29.9 KB
- assets/css/fonts/KaTeX_SansSerif-Regular.ttf 29.4 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/img/screen-shot-2017-11-16-at-4.27.58-pm.png 27.8 KB
- Part 01_Deep Learning with PyTorch/Module 01_Lessons/Lesson 04_Introduction to PyTorch/data.json 26.7 KB
- assets/css/fonts/KaTeX_Main-Italic.woff 26.6 KB
- Part 01-Module 01-Lesson 01_Welcome to the Scholarship Challenge!/img/alexis-headshot.jpg 26.3 KB
- assets/css/fonts/KaTeX_Main-BoldItalic.woff 25.6 KB
- assets/css/fonts/KaTeX_Script-Regular.ttf 24.3 KB
- assets/css/plyr.css 23.6 KB
- assets/css/fonts/KaTeX_Math-Italic.woff 23.3 KB
- assets/css/fonts/KaTeX_Fraktur-Bold.woff 22.8 KB
- assets/css/fonts/KaTeX_Math-BoldItalic.woff 22.6 KB
- assets/css/fonts/KaTeX_Main-Italic.woff2 22.5 KB
- assets/css/fonts/KaTeX_Fraktur-Regular.woff 22.3 KB
- assets/css/fonts/KaTeX_Main-BoldItalic.woff2 21.7 KB
- assets/css/katex.min.css 21.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/08. Perceptrons as Logical Operators.html 20.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/34. Convolutional Layers in PyTorch.html 20.7 KB
- Part 01_Deep Learning with PyTorch/Module 01_Lessons/Lesson 01_Welcome to the Scholarship Challenge!/data.json 20.6 KB
- assets/css/fonts/KaTeX_Typewriter-Regular.woff 20.4 KB
- assets/css/fonts/KaTeX_Fraktur-Bold.woff2 20.0 KB
- assets/css/fonts/KaTeX_Math-Italic.woff2 20.0 KB
- assets/css/fonts/KaTeX_Math-BoldItalic.woff2 19.6 KB
- assets/css/fonts/KaTeX_Fraktur-Regular.woff2 19.4 KB
- assets/css/fonts/KaTeX_Caligraphic-Bold.ttf 19.1 KB
- assets/css/fonts/KaTeX_SansSerif-Bold.woff 18.7 KB
- assets/css/fonts/KaTeX_Caligraphic-Regular.ttf 18.5 KB
- assets/css/fonts/KaTeX_SansSerif-Italic.woff 17.7 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/23. Gradient Descent.html 17.2 KB
- assets/css/fonts/KaTeX_Typewriter-Regular.woff2 17.1 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/20. PyTorch - Part 8-S9F7MtJ5jls.en.vtt 16.8 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/10. Perceptron Algorithm.html 16.6 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/20. PyTorch - Part 8-S9F7MtJ5jls.pt-BR.vtt 16.6 KB
- assets/css/fonts/KaTeX_SansSerif-Regular.woff 16.4 KB
- Part 01_Deep Learning with PyTorch/Module 01_Lessons/Lesson 06_Style Transfer/data.json 16.0 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/43. Visualizing CNNs (Part 2).html 15.7 KB
- assets/css/fonts/KaTeX_SansSerif-Bold.woff2 15.6 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/10. PyTorch V2 Part 3 Solution V2-zBWlOeX2sQM.en.vtt 15.4 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/09. PyTorch V2 Part 3 V1-9ILiZwbi9dA.en.vtt 15.3 KB
- assets/css/fonts/KaTeX_SansSerif-Italic.woff2 14.9 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/02. Applications of CNNs.html 14.2 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/33. CNNs for Image Classification.html 14.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. Neural Network Architecture.html 13.9 KB
- assets/css/fonts/KaTeX_SansSerif-Regular.woff2 13.7 KB
- assets/css/fonts/KaTeX_Script-Regular.woff 13.5 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/21. PyTorch V2 Part 8 Solution V1-4n6T93hKRD4.en.vtt 13.5 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/15. Softmax.html 13.5 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. Backpropagation.html 13.3 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/20. PyTorch - Part 8-S9F7MtJ5jls.zh-CN.vtt 13.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/09. Perceptron Trick.html 13.0 KB
- assets/css/fonts/KaTeX_Size1-Regular.ttf 12.9 KB
- assets/css/fonts/KaTeX_Size2-Regular.ttf 12.1 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/14. Inference, Solution.html 12.1 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/12. Training the Model.html 12.0 KB
- assets/css/fonts/KaTeX_Script-Regular.woff2 12.0 KB
- Part 01_Deep Learning with PyTorch/Module 01_Lessons/Lesson 09_Deploying PyTorch Models/data.json 11.9 KB
- assets/css/fonts/KaTeX_Caligraphic-Bold.woff 11.9 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/20. Cross-Entropy 2.html 11.7 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/11. Complete Sentiment RNN.html 11.7 KB
- assets/css/fonts/KaTeX_Caligraphic-Regular.woff 11.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/17. Maximum Likelihood.html 11.6 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/17. 04 Implementing CharRNN V2-MMtgZXzFB10.en.vtt 11.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/14. Discrete vs Continuous.html 11.5 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/20. 07 CharRNN Solution V1-ed33qePHrJM.en.vtt 11.4 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/26. Convolutional Layer.html 11.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/25. Pre-Notebook Gradient Descent.html 11.2 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/24. OpenCV & Creating Custom Filters.html 11.2 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/20. 07 CharRNN Solution V1-ed33qePHrJM.pt-BR.vtt 11.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/21. Frequency in Images.html 11.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/42. Visualizing CNNs (Part 1).html 11.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/18. Maximizing Probabilities.html 11.0 KB
- assets/css/fonts/KaTeX_Size4-Regular.ttf 11.0 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/27. Convolutional Layers-RnM1D-XI--8.pt-BR.vtt 11.0 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/01. Welcome!.html 11.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/22. Logistic Regression.html 10.9 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/13. Log-loss Error Function.html 10.9 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/18. PyTorch - Part 7-hFu7GTfRWks.pt-BR.vtt 10.9 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/12. 02 Time Series Prediction V2-xV5jHLFfJbQ.en.vtt 10.9 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/05. How Computers Interpret Images.html 10.8 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/17. 04 Implementing CharRNN V2-MMtgZXzFB10.pt-BR.vtt 10.7 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/30. Pooling Layers.html 10.7 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/18. PyTorch - Part 7-hFu7GTfRWks.en.vtt 10.7 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/32. Feedforward.html 10.5 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/12. 02 Time Series Prediction V2-xV5jHLFfJbQ.pt-BR.vtt 10.5 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/10. Training the Network.html 10.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/02. Classification Problems 1.html 10.4 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/03. PyTorch V2 Part 1 Solution V1-mNJ8CujTtpo.en.vtt 10.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/05. Higher Dimensions.html 10.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/21. Multi-Class Cross Entropy.html 10.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/06. Perceptrons.html 10.3 KB
- assets/css/fonts/KaTeX_Caligraphic-Bold.woff2 10.3 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/37. Notebook CNN Classification.html 10.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/40. Regularization.html 10.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/34. Pre-Notebook Analyzing Student Data.html 10.3 KB
- assets/css/fonts/KaTeX_Caligraphic-Regular.woff2 10.2 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/13. One Solution.html 10.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/11. Pre-Notebook MLP Classification, Exercise.html 10.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/22. High-pass Filters.html 10.0 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/27. Convolutional Layers-RnM1D-XI--8.en.vtt 10.0 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/23. Quiz Kernels.html 10.0 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/41. Groundbreaking CNN Architectures.html 10.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/04. Linear Boundaries.html 9.9 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/09. Defining a Network in PyTorch.html 9.9 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/17. PyTorch - Part 6-3ZJfo2bR-uw.pt-BR.vtt 9.7 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/02. PyTorch V2 Part 1 V1-6Z7WntXays8.en.vtt 9.7 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/03. Lesson Outline.html 9.7 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/27. Convolutional Layers (Part 2).html 9.7 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/35. Notebook Analyzing Student Data.html 9.6 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/15. Validation Loss.html 9.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/26. Notebook Gradient Descent.html 9.6 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/36. CIFAR Classification Example.html 9.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/27. Perceptron vs Gradient Descent.html 9.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/46. Other Activation Functions.html 9.6 KB
- Part 01_Deep Learning with PyTorch/Module 01_Lessons/Lesson 03_Talking PyTorch with Soumith Chintala/data.json 9.5 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/06. MLP Structure & Class Scores.html 9.5 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/13. Error Functions-jfKShxGAbok.en.vtt 9.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/19. Cross-Entropy 1.html 9.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/47. Batch vs Stochastic Gradient Descent.html 9.3 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/17. PyTorch - Part 6-3ZJfo2bR-uw.en.vtt 9.3 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/13. Testing.html 9.3 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/20. Filters & Edges.html 9.3 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/38. Notebook CNNs for CIFAR Image Classification.html 9.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/50. Error Functions Around the World.html 9.3 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/12. Notebook MLP Classification, MNIST.html 9.3 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/18. Local Connectivity-z9wiDg0w-Dc.pt-BR.vtt 9.3 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/31. Notebook Layer Visualization.html 9.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/38. Overfitting and Underfitting.html 9.3 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/25. Notebook Finding Edges.html 9.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/24. Logistic Regression Algorithm.html 9.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/03. Classification Problems 2.html 9.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/28. Continuous Perceptrons.html 9.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/07. Why Neural Networks.html 9.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/36. Training Optimization.html 9.2 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/04. MNIST Dataset.html 9.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/39. Early Stopping.html 9.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/11. Non-Linear Regions.html 9.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/45. Vanishing Gradient.html 9.2 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/40. Augmentation Using Transformations.html 9.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/30. Non-Linear Models.html 9.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/16. One-Hot Encoding.html 9.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/12. Error Functions.html 9.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/29. Non-linear Data.html 9.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/48. Learning Rate Decay.html 9.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/41. Regularization 2.html 9.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/44. Random Restart.html 9.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/01. Introduction.html 9.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/43. Local Minima.html 9.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/49. Momentum.html 9.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/37. Testing.html 9.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/42. Dropout.html 9.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/13. Error Functions-jfKShxGAbok.pt-BR.vtt 9.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/01. Introducing Alexis.html 9.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/29. CNNs in PyTorch.html 9.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/17. MLPs vs CNNs.html 9.0 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/18. Local Connectivity-z9wiDg0w-Dc.en.vtt 9.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/img/codecogseqn-60-2.png 8.9 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/21. 08 Making Predictions V3-BhrpV3kwATo.pt-BR.vtt 8.9 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/14. PyTorch V2 Part 5 V1 (1)-XACXlkIdS7Y.en.vtt 8.9 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/18. Local Connectivity.html 8.9 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/32. Increasing Depth.html 8.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/16. Image Classification Steps.html 8.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/08. Loss & Optimization.html 8.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/19. Filters and the Convolutional Layer.html 8.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/44. Summary of CNNs.html 8.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/35. Feature Vector.html 8.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/28. Stride and Padding.html 8.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/14. Model Validation.html 8.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/39. Image Augmentation.html 8.8 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/41. Regularization-ndYnUrx8xvs.pt-BR.vtt 8.8 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/21. 08 Making Predictions V3-BhrpV3kwATo.en.vtt 8.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/07. Do Your Research.html 8.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/15. 11 Validation Loss V2-uGPP_-pbBsc.en.vtt 8.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/27. Convolutional Layers-RnM1D-XI--8.zh-CN.vtt 8.7 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/36. 23 Cifar Class V1-FF_EmZ2sf2w.pt-BR.vtt 8.6 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/18. PyTorch - Part 7-hFu7GTfRWks.zh-CN.vtt 8.6 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/15. 11 Validation Loss V2-uGPP_-pbBsc.pt-BR.vtt 8.4 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/36. 23 Cifar Class V1-FF_EmZ2sf2w.en.vtt 8.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/13. Error Functions-jfKShxGAbok.zh-CN.vtt 8.4 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/29. 24 CNNs PyTorch V2-GNxzWfiz3do.en.vtt 8.3 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/22. High-pass Filters-OpcFn_H2V-Q.pt-BR.vtt 8.2 KB
- assets/css/fonts/KaTeX_Size3-Regular.ttf 8.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/38. Underfitting And Overfitting-xj4PlXMsN-Y.pt-BR.vtt 8.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/29. 24 CNNs PyTorch V2-GNxzWfiz3do.pt-BR.vtt 8.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/41. Regularization-ndYnUrx8xvs.en.vtt 8.1 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/16. Notebook Character-Level RNN.html 8.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/20. CrossEntropy V1-1BnhC6e0TFw.en.vtt 8.0 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/13. Training & Memory.html 8.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/img/codecogseqn-43.gif 8.0 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/13. 09 One Solution V2-7q37WPjQhDA.en.vtt 7.9 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/20. Char-RNN, Solution.html 7.9 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/17. PyTorch - Part 6-3ZJfo2bR-uw.zh-CN.vtt 7.9 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/13. 03 Training Memory V1-sx7T_KP5v9I.en.vtt 7.8 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/20. CrossEntropy V1-1BnhC6e0TFw.pt-BR.vtt 7.8 KB
- Part 01_Deep Learning with PyTorch/Module 01_Lessons/Lesson 10_Challenge Project/data.json 7.7 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/18. Local Connectivity-z9wiDg0w-Dc.zh-CN.vtt 7.6 KB
- Part 01-Module 01-Lesson 06_Style Transfer/04. Gram Matrix.html 7.6 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/13. 09 One Solution V2-7q37WPjQhDA.pt-BR.vtt 7.6 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/22. Tips, Tricks, and Other Notes.html 7.6 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/22. High-pass Filters-OpcFn_H2V-Q.en.vtt 7.6 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/07. PyTorch V2 Part 2 Solution V1-zym36ihtOMY.en.vtt 7.5 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/08. ConNet 05 Loss&Optimization V1 V3-BmPDtSXv18w.en.vtt 7.5 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/38. Underfitting And Overfitting-xj4PlXMsN-Y.en.vtt 7.5 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/08. ConNet 05 Loss&Optimization V1 V3-BmPDtSXv18w.pt-BR.vtt 7.5 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/15. PyTorch V2 Part 5 Solution V1-AjrXltxqsK4.en.vtt 7.4 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/13. 03 Training Memory V1-sx7T_KP5v9I.pt-BR.vtt 7.4 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/03. Notebook Sentiment RNN.html 7.4 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/01. Intro to RNNs.html 7.3 KB
- Part 01-Module 01-Lesson 01_Welcome to the Scholarship Challenge!/01. Welcome to the course!.html 7.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. Backpropagation V2-1SmY3TZTyUk.en.vtt 7.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. Backpropagation V2-1SmY3TZTyUk.pt-BR.vtt 7.2 KB
- Part 01-Module 01-Lesson 06_Style Transfer/08. Notebook Style Transfer.html 7.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/09. 06 Defining A Network V1-9gvaQvyfLfY.en.vtt 7.1 KB
- Part 01-Module 01-Lesson 06_Style Transfer/07. 6 VGG Features V1-Q5N2NEv7ADc.pt-BR.vtt 7.1 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/21. Making Predictions.html 7.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/41. Regularization-ndYnUrx8xvs.zh-CN.vtt 7.0 KB
- Part 01-Module 01-Lesson 06_Style Transfer/07. 6 VGG Features V1-Q5N2NEv7ADc.en.vtt 7.0 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/04. 3 Data PreProcessing V1-Xw1MWmql7no.en.vtt 6.9 KB
- Part 01-Module 01-Lesson 01_Welcome to the Scholarship Challenge!/02. Instructors.html 6.9 KB
- Part 01-Module 01-Lesson 09_Deploying PyTorch Models/07. Want to learn more.html 6.9 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/12. Time-Series Prediction.html 6.8 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/index.html 6.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/09. 06 Defining A Network V1-9gvaQvyfLfY.pt-BR.vtt 6.8 KB
- assets/css/fonts/KaTeX_Size1-Regular.woff 6.8 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/32. DL 41 Feedforward FIX V2-hVCuvMGOfyY.pt-BR.vtt 6.8 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/08. The Use Gate.html 6.7 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/05. The Learn Gate.html 6.7 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/20. CrossEntropy V1-1BnhC6e0TFw.zh-CN.vtt 6.7 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/index.html 6.6 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/06. The Forget Gate.html 6.6 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/img/diagonal-line-2.png 6.6 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/09. 8 TensorDataset Batching V1-Oxuf2QIPjj4.en.vtt 6.6 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/22. High-pass Filters-OpcFn_H2V-Q.zh-CN.vtt 6.6 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/11. Implementing RNNs.html 6.6 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/10. Other architectures.html 6.6 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/12. Classifying Fashion-MNIST.html 6.5 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/17. Saving and Loading Models.html 6.5 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/10. 07 Training The Network V1-904bfqibcCw.en.vtt 6.5 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/38. Underfitting And Overfitting-xj4PlXMsN-Y.zh-CN.vtt 6.5 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/18. Loading Image Data.html 6.5 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/20. Transfer Learning.html 6.5 KB
- assets/css/fonts/KaTeX_Size2-Regular.woff 6.5 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/19. Defining the Model.html 6.5 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/09. TensorDataset & Batching Data.html 6.5 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/07. The Remember Gate.html 6.5 KB
- Part 01-Module 01-Lesson 10_Challenge Project/Lab - Final Challenge.html 6.5 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.pt-BR.vtt 6.5 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/17. Implementing a Char-RNN.html 6.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. Backpropagation V2-1SmY3TZTyUk.zh-CN.vtt 6.4 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/04. Networks Using Matrix Multiplication.html 6.4 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/03. Single layer neural networks solution.html 6.4 KB
- Part 01-Module 01-Lesson 10_Challenge Project/01. Final project.html 6.4 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/05. Multilayer Networks Solution.html 6.4 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/10. Network Architectures Solution.html 6.4 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/11. Training a Network Solution.html 6.4 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/19. Loading Image Data Solution.html 6.4 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/21. Transfer Learning Solution.html 6.3 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/07. Neural Networks Solution.html 6.3 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/13. Fashion-MNIST Solution.html 6.3 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/15. Validation Solution.html 6.3 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/16. Dropout Solution.html 6.3 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/09. Network Architectures in PyTorch.html 6.3 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/14. Inference and Validation.html 6.3 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/02. Single layer neural networks.html 6.3 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/06. Neural Networks in PyTorch.html 6.3 KB
- assets/css/fonts/KaTeX_Size4-Regular.woff 6.3 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/08. Implementing Softmax Solution.html 6.2 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/09. Putting it All Together.html 6.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/32. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt 6.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt 6.2 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/14. Character-wise RNNs.html 6.2 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/04. Architecture of LSTM.html 6.1 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/13. PyTorch V2 Part 4 Solution V1-R6Y4hPLVQWM.en.vtt 6.1 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/15. Sequence Batching.html 6.1 KB
- Part 01-Module 01-Lesson 01_Welcome to the Scholarship Challenge!/04. How this program works.html 6.1 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/02. Sentiment Analysis RNNs.html 6.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/10. 07 Training The Network V1-904bfqibcCw.pt-BR.vtt 6.1 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/03. Basics of LSTM.html 6.1 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/02. RNN vs LSTM.html 6.1 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/18. Batching Data, Solution.html 6.0 KB
- Part 01-Module 01-Lesson 01_Welcome to the Scholarship Challenge!/03. Course Outline.html 6.0 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/19. 06 Defining Model V2-_LWzyqq4hCY.pt-BR.vtt 6.0 KB
- Part 01-Module 01-Lesson 06_Style Transfer/03. 03 ContentRepandStyleTransfer V3-PQ1UuzOIjCM.pt-BR.vtt 5.9 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.en.vtt 5.9 KB
- Part 01-Module 01-Lesson 01_Welcome to the Scholarship Challenge!/05. Join the Scholar Learning Community.html 5.8 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/06. PyTorch V2 Part 2 V1-CSQOdOb2mlg.en.vtt 5.8 KB
- Part 01-Module 01-Lesson 09_Deploying PyTorch Models/01. Welcome!.html 5.8 KB
- Course index.rar 5.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/img/diagonal-line-1.png 5.8 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/19. 06 Defining Model V2-_LWzyqq4hCY.en.vtt 5.8 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/14. Discrete vs. Continuous-Rm2KxFaPiJg.en.vtt 5.7 KB
- Part 01-Module 01-Lesson 06_Style Transfer/04. 41 GramMatrixStyleTransfer V3-e718uVAW3KU.pt-BR.vtt 5.7 KB
- assets/css/fonts/KaTeX_Size1-Regular.woff2 5.7 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/14. Discrete vs. Continuous-Rm2KxFaPiJg.pt-BR.vtt 5.7 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/02. Applications of CNNs-HrYNL_1SV2Y.pt-BR.vtt 5.7 KB
- Part 01-Module 01-Lesson 06_Style Transfer/03. 03 ContentRepandStyleTransfer V3-PQ1UuzOIjCM.en.vtt 5.7 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.pt-BR.vtt 5.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/39. Model Complexity Graph-NnS0FJyVcDQ.pt-BR.vtt 5.5 KB
- assets/css/fonts/KaTeX_Size2-Regular.woff2 5.4 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/02. Applications of CNNs-HrYNL_1SV2Y.en.vtt 5.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/15. DL 18 Q Softmax V2-RC_A9Tu99y4.en.vtt 5.4 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/06. Getting Rid of Zero-Length.html 5.4 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/07. Cleaning & Padding Data.html 5.4 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/01. Sentiment RNN, Introduction.html 5.4 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/08. Padded Features, Solution.html 5.3 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/05. Encoding Words, Solution.html 5.3 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/04. Data Pre-Processing.html 5.3 KB
- Part 01-Module 01-Lesson 06_Style Transfer/02. 02 SeparatingStyleandContent V2-PNFFAhymuHc.pt-BR.vtt 5.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/32. DL 41 Feedforward FIX V2-hVCuvMGOfyY.zh-CN.vtt 5.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/39. Model Complexity Graph-NnS0FJyVcDQ.en.vtt 5.3 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/10. Defining the Model.html 5.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. Combinando modelos-Boy3zHVrWB4.pt-BR.vtt 5.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. Combinando modelos-Boy3zHVrWB4.en.vtt 5.3 KB
- Part 01-Module 01-Lesson 06_Style Transfer/04. 41 GramMatrixStyleTransfer V3-e718uVAW3KU.en.vtt 5.2 KB
- Part 01-Module 01-Lesson 06_Style Transfer/02. Separating Style & Content.html 5.2 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/03. LSTM Basics-gjb68a4XsqE.en.vtt 5.2 KB
- Part 01-Module 01-Lesson 06_Style Transfer/03. VGG19 & Content Loss.html 5.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/22. Error Function-V5kkHldUlVU.pt-BR.vtt 5.2 KB
- Part 01-Module 01-Lesson 06_Style Transfer/06. Loss Weights.html 5.2 KB
- Part 01-Module 01-Lesson 06_Style Transfer/12. Total Loss & Complete Solution.html 5.2 KB
- Part 01-Module 01-Lesson 06_Style Transfer/09. Features & Gram Matrix.html 5.2 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/18. 05 Batching Data V1-9Eg0wf3eW-k.en.vtt 5.2 KB
- Part 01-Module 01-Lesson 06_Style Transfer/05. Style Loss.html 5.2 KB
- Part 01-Module 01-Lesson 01_Welcome to the Scholarship Challenge!/06. Scholarship Challenge Project.html 5.2 KB
- Part 01-Module 01-Lesson 06_Style Transfer/11. 9 Defining Loss V1-lix8d3B2QcE.pt-BR.vtt 5.2 KB
- Part 01-Module 01-Lesson 06_Style Transfer/10. Gram Matrix Solution.html 5.2 KB
- Part 01-Module 01-Lesson 06_Style Transfer/11. Defining the Loss.html 5.1 KB
- Part 01-Module 01-Lesson 06_Style Transfer/01. Style Transfer.html 5.1 KB
- Part 01-Module 01-Lesson 06_Style Transfer/07. VGG Features.html 5.1 KB
- Part 01-Module 01-Lesson 06_Style Transfer/11. 9 Defining Loss V1-lix8d3B2QcE.en.vtt 5.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/33. 21 CNNs For Image Classification RENDER V2-smaw5GqRaoY.pt-BR.vtt 5.1 KB
- assets/css/fonts/KaTeX_Size4-Regular.woff2 5.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/15. DL 18 Q Softmax V2-RC_A9Tu99y4.pt-BR.vtt 5.1 KB
- Part 01-Module 01-Lesson 06_Style Transfer/02. 02 SeparatingStyleandContent V2-PNFFAhymuHc.en.vtt 5.1 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/03. LSTM Basics-gjb68a4XsqE.pt-BR.vtt 5.1 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/10. 9 DefiningModel V1-SpvIZl1YQRI.en.vtt 5.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.zh-CN.vtt 5.0 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/08. 7 PaddedFeatures Sol V1-sYOd1IDmep8.en.vtt 5.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/19. Cross Entropy 1-iREoPUrpXvE.pt-BR.vtt 5.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.zh-CN.vtt 5.0 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/18. 05 Batching Data V1-9Eg0wf3eW-k.pt-BR.vtt 4.9 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/22. Error Function-V5kkHldUlVU.en.vtt 4.9 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/index.html 4.8 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/19. Cross Entropy 1-iREoPUrpXvE.en.vtt 4.8 KB
- Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/05. Cutting-edge Applications in PyTorch.html 4.8 KB
- Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/07. PyTorch and the Facebook Product.html 4.8 KB
- Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/02. Debugging and Designing PyTorch.html 4.8 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/05. 4 EncodingWords Sol V1-4RYyn3zv1Hg.en.vtt 4.8 KB
- Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/06. User Needs and Adding Features.html 4.8 KB
- Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/03. From Research to Production.html 4.8 KB
- Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/04. Hybrid Frontend.html 4.8 KB
- Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/08. The Future of PyTorch.html 4.7 KB
- Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/01. Origins of PyTorch.html 4.7 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/33. 21 CNNs For Image Classification RENDER V2-smaw5GqRaoY.en.vtt 4.7 KB
- Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/09. Learning More in AI.html 4.7 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.en.vtt 4.7 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/02. RNN Vs LSTM-70MgF-IwAr8.en.vtt 4.7 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/42. Dropout-Ty6K6YiGdBs.en.vtt 4.7 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/02. Applications of CNNs-HrYNL_1SV2Y.zh-CN.vtt 4.7 KB
- Part 01-Module 01-Lesson 06_Style Transfer/12. 10 Loss Solution V1-DzaQm9awcwY.pt-BR.vtt 4.7 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/14. Discrete vs. Continuous-Rm2KxFaPiJg.zh-CN.vtt 4.7 KB
- assets/css/fonts/KaTeX_Size3-Regular.woff 4.7 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/42. Dropout-Ty6K6YiGdBs.pt-BR.vtt 4.7 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/39. Model Complexity Graph-NnS0FJyVcDQ.zh-CN.vtt 4.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/47. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt 4.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/47. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.pt-BR.vtt 4.6 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/14. ConNet10 ModelValidation V1 V2-b5934VsV3SA.en.vtt 4.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. Combinando modelos-Boy3zHVrWB4.zh-CN.vtt 4.6 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/07. 6 Cleaning And Padding V1-UgPo1_cq-0g.en.vtt 4.6 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/03. LSTM Basics-gjb68a4XsqE.zh-CN.vtt 4.6 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/39. Image Augmentation In Keras-zQnx2jZmjTA.en.vtt 4.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.pt-BR.vtt 4.5 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/39. Image Augmentation In Keras-zQnx2jZmjTA.pt-BR.vtt 4.5 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/05. PyTorch V2 Part 1 Solution 3 V1-iMIo9p5iSbE.en.vtt 4.5 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/04. PyTorch V2 Part 1 Solution 2 V1-QLaGMz8Ca3E.en.vtt 4.5 KB
- Part 01-Module 01-Lesson 06_Style Transfer/12. 10 Loss Solution V1-DzaQm9awcwY.en.vtt 4.5 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/17. Maximum Likelihood 2-6nUUeQ9AeUA.pt-BR.vtt 4.5 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/index.html 4.5 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/19. PyTorch V2 Part 7 Solution V1-d_NhvI1yEf0.en.vtt 4.5 KB
- Part 01-Module 01-Lesson 09_Deploying PyTorch Models/04. Torch Script & Tracing.html 4.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/17. Maximum Likelihood 2-6nUUeQ9AeUA.en.vtt 4.4 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/32. ConNet 20 Increasing Depth V2 RENDERv1 1 V2-YKif1KNpWeE.pt-BR.vtt 4.4 KB
- Part 01-Module 01-Lesson 09_Deploying PyTorch Models/03. PyTorch for Production.html 4.4 KB
- Part 01-Module 01-Lesson 09_Deploying PyTorch Models/02. Installing PyTorch 1.0.html 4.4 KB
- Part 01-Module 01-Lesson 09_Deploying PyTorch Models/05. Annotations.html 4.4 KB
- Part 01-Module 01-Lesson 09_Deploying PyTorch Models/06. PyTorch C++ API.html 4.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/15. DL 18 Q Softmax V2-RC_A9Tu99y4.zh-CN.vtt 4.4 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/14. ConNet10 ModelValidation V1 V2-b5934VsV3SA.pt-BR.vtt 4.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/27. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.en.vtt 4.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/27. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.pt-BR.vtt 4.2 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/02. RNN Vs LSTM-70MgF-IwAr8.pt-BR.vtt 4.2 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/32. ConNet 20 Increasing Depth V2 RENDERv1 1 V2-YKif1KNpWeE.en.vtt 4.2 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/02. RNN Vs LSTM-70MgF-IwAr8.zh-CN.vtt 4.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.pt-BR.vtt 4.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/22. Error Function-V5kkHldUlVU.zh-CN.vtt 4.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.en.vtt 4.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/19. Cross Entropy 1-iREoPUrpXvE.zh-CN.vtt 4.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/47. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.zh-CN.vtt 4.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/05. ConNet 022 How Computers Interpret Images V1-mEPfoM68Fx4.pt-BR.vtt 4.1 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/index.html 4.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/42. Dropout-Ty6K6YiGdBs.zh-CN.vtt 4.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.zh-CN.vtt 4.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/23. Gradient Descent-rhVIF-nigrY.pt-BR.vtt 4.0 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/35. ConNet 22 Feature Vector RENDER 1 V2-g6QuiVno8zI.pt-BR.vtt 3.9 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/35. ConNet 22 Feature Vector RENDER 1 V2-g6QuiVno8zI.en.vtt 3.9 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/42. Visualizing CNNs-mnqS_EhEZVg.en.vtt 3.9 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/28. 17 Stride And Padding RENDER V1-GmStpNi8jBI.pt-BR.vtt 3.9 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/41. Groundbreaking CNN Architectures-GdYOqihgb2k.pt-BR.vtt 3.9 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/04. Linear Boundaries-X-uMlsBi07k.en.vtt 3.9 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/23. Gradient Descent-rhVIF-nigrY.en.vtt 3.9 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/05. ConNet 022 How Computers Interpret Images V1-mEPfoM68Fx4.en.vtt 3.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/42. Visualizing CNNs-mnqS_EhEZVg.pt-BR.vtt 3.8 KB
- Part 01-Module 01-Lesson 06_Style Transfer/index.html 3.8 KB
- assets/css/fonts/KaTeX_Size3-Regular.woff2 3.8 KB
- assets/css/styles.css 3.8 KB
- Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/index.html 3.7 KB
- Part 01-Module 01-Lesson 06_Style Transfer/10. 8 Gram Matrix Sol V1-uncCKMI5Yns.pt-BR.vtt 3.7 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/17. Maximum Likelihood 2-6nUUeQ9AeUA.zh-CN.vtt 3.7 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/04. Linear Boundaries-X-uMlsBi07k.pt-BR.vtt 3.7 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/14. Character-Wise RNN-dXl3eWCGLdU.pt-BR.vtt 3.7 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/28. 17 Stride And Padding RENDER V1-GmStpNi8jBI.en.vtt 3.6 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/06. 5 GettingRid ZeroLength V1-Hs6ithuvDJg.en.vtt 3.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/27. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.zh-CN.vtt 3.6 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/41. Groundbreaking CNN Architectures-GdYOqihgb2k.en.vtt 3.6 KB
- Part 01-Module 01-Lesson 06_Style Transfer/10. 8 Gram Matrix Sol V1-uncCKMI5Yns.en.vtt 3.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.zh-CN.vtt 3.5 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/10. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.en.vtt 3.5 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. Calculating The Gradient 1 -tVuZDbUrzzI.pt-BR.vtt 3.4 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/40. 26 Augmentation V1-J_gjHVt9pVw.en.vtt 3.4 KB
- Part 01-Module 01-Lesson 01_Welcome to the Scholarship Challenge!/index.html 3.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt 3.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. Layers-pg99FkXYK0M.en.vtt 3.4 KB
- Part 01-Module 01-Lesson 09_Deploying PyTorch Models/index.html 3.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/04. Linear Boundaries-X-uMlsBi07k.zh-CN.vtt 3.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt 3.3 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/42. Visualizing CNNs-mnqS_EhEZVg.zh-CN.vtt 3.3 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/14. Character-Wise RNN-dXl3eWCGLdU.en.vtt 3.3 KB
- Part 01-Module 01-Lesson 06_Style Transfer/09. 7 Feats Gram Matrix V1-f89x9oAh6X0.pt-BR.vtt 3.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. Layers-pg99FkXYK0M.pt-BR.vtt 3.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/01. Introduction-tn-CrUTkCUc.en.vtt 3.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/10. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.pt-BR.vtt 3.3 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/40. 26 Augmentation V1-J_gjHVt9pVw.pt-BR.vtt 3.3 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/30. 18 Pooling RENDER V1-_Ok5xZwOtrk.pt-BR.vtt 3.2 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/06. ConNet 03 MLPStructure&ClassScore V1 V1-fP0Odiai8sk.pt-BR.vtt 3.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/08. AND And OR Perceptrons-45K5N0P9wJk.pt-BR.vtt 3.1 KB
- Part 01-Module 01-Lesson 06_Style Transfer/09. 7 Feats Gram Matrix V1-f89x9oAh6X0.en.vtt 3.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/06. ConNet 03 MLPStructure&ClassScore V1 V1-fP0Odiai8sk.en.vtt 3.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/01. Introduction-tn-CrUTkCUc.pt-BR.vtt 3.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. Layers-pg99FkXYK0M.zh-CN.vtt 3.0 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/17. ConNet 14 MLPvsCNN V1 V2-Q7CR3cCOtJQ.en.vtt 3.0 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/14. Character-Wise RNN-dXl3eWCGLdU.zh-CN.vtt 3.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt 3.0 KB
- Part 01-Module 01-Lesson 10_Challenge Project/index.html 3.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/08. AND And OR Perceptrons-45K5N0P9wJk.en.vtt 3.0 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/17. ConNet 14 MLPvsCNN V1 V2-Q7CR3cCOtJQ.pt-BR.vtt 3.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/05. 09 Higher Dimensions-eBHunImDmWw.en.vtt 2.9 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/30. 18 Pooling RENDER V1-_Ok5xZwOtrk.en.vtt 2.9 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. Calculating The Gradient 1 -tVuZDbUrzzI.zh-CN.vtt 2.9 KB
- Part 01-Module 01-Lesson 06_Style Transfer/06. 05 LossWeightsStyleTransfer V2-qO8oiZBtG1I.pt-BR.vtt 2.8 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/01. Introduction-tn-CrUTkCUc.zh-CN.vtt 2.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/04. ConNet 021 MNISTClassification V1 V2-a7bvIGZpcnk.en.vtt 2.8 KB
- Part 01-Module 01-Lesson 06_Style Transfer/06. 05 LossWeightsStyleTransfer V2-qO8oiZBtG1I.en.vtt 2.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/07. 04 Do Your Research V1-CR4JeAn1fgk.pt-BR.vtt 2.8 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt 2.8 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/11. PyTorch V2 Part 3 Solution 2 V1-ExyFG2MjsKs.en.vtt 2.7 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/02. Classsification Example-Dh625piH7Z0.en.vtt 2.7 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/49. Momentum-r-rYz_PEWC8.pt-BR.vtt 2.7 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/07. 04 Do Your Research V1-CR4JeAn1fgk.en.vtt 2.7 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/46. Other Activation Functions-kA-1vUt6cvQ.en.vtt 2.7 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/05. Learn Gate-aVHVI7ovbHY.pt-BR.vtt 2.7 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/05. 09 Higher Dimensions-eBHunImDmWw.pt-BR.vtt 2.7 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/04. ConNet 021 MNISTClassification V1 V2-a7bvIGZpcnk.pt-BR.vtt 2.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/09. Perceptron Algorithm--zhTROHtscQ.en.vtt 2.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/24. Gradient Descent Algorithm-snxmBgi_GeU.pt-BR.vtt 2.6 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/05. Learn Gate-aVHVI7ovbHY.en.vtt 2.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/15. DL 18 S Softmax-n8S-v_LCTms.en.vtt 2.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/46. Other Activation Functions-kA-1vUt6cvQ.pt-BR.vtt 2.5 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/24. Gradient Descent Algorithm-snxmBgi_GeU.en.vtt 2.5 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/15. DL 18 S Softmax-n8S-v_LCTms.pt-BR.vtt 2.5 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/02. Classsification Example-Dh625piH7Z0.pt-BR.vtt 2.5 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/05. Learn Gate-aVHVI7ovbHY.zh-CN.vtt 2.5 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/49. Momentum-r-rYz_PEWC8.en.vtt 2.5 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/08. AND And OR Perceptrons-45K5N0P9wJk.zh-CN.vtt 2.5 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/10. Other Architectures-MsxFDuYlTuQ.pt-BR.vtt 2.4 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/09. Putting It All Together-IF8FlKW-Zo0.en.vtt 2.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/09. Perceptron Algorithm--zhTROHtscQ.pt-BR.vtt 2.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/37. Testing-EeBZpb-PSac.en.vtt 2.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/05. 09 Higher Dimensions-eBHunImDmWw.zh-CN.vtt 2.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/37. Testing-EeBZpb-PSac.pt-BR.vtt 2.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/02. Classsification Example-Dh625piH7Z0.zh-CN.vtt 2.4 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/09. Putting It All Together-IF8FlKW-Zo0.pt-BR.vtt 2.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/09. Perceptron Algorithm--zhTROHtscQ.zh-CN.vtt 2.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/46. Other Activation Functions-kA-1vUt6cvQ.zh-CN.vtt 2.3 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/15. Sequence-Batching-Z4OiyU0Cldg.pt-BR.vtt 2.3 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/10. Other Architectures-MsxFDuYlTuQ.en.vtt 2.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/15. DL 18 S Softmax-n8S-v_LCTms.zh-CN.vtt 2.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/18. Quiz Cross Entropy-njq6bYrPqSU.en.vtt 2.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/18. Quiz Cross Entropy-njq6bYrPqSU.pt-BR.vtt 2.3 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/12. PyTorch - Part 4-AEJV_RKZ7VU.en.vtt 2.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/16. One-Hot Encoding-AePvjhyvsBo.en.vtt 2.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/49. Momentum-r-rYz_PEWC8.zh-CN.vtt 2.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/24. Gradient Descent Algorithm-snxmBgi_GeU.zh-CN.vtt 2.2 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/12. PyTorch - Part 4-AEJV_RKZ7VU.pt-BR.vtt 2.2 KB
- Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/01. 1 SentimentRNN Intro V1-bQWUuaMc9ZI.en.vtt 2.2 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/44. ConNet 27 Summary Of CNNs V2 RENDER V3-Te9QCvhx6N8.pt-BR.vtt 2.2 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/09. Putting It All Together-IF8FlKW-Zo0.zh-CN.vtt 2.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/32. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt 2.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt 2.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/19. 15 Filters And Convo RENDER V2-x_dhnhUzFNo.en.vtt 2.1 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/19. 15 Filters And Convo RENDER V2-x_dhnhUzFNo.pt-BR.vtt 2.1 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/15. Sequence-Batching-Z4OiyU0Cldg.en.vtt 2.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/img/codecogseqn-49.gif 2.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/img/sigmoid-derivative.gif 2.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. Multiclass Classification-uNTtvxwfox0.en.vtt 2.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/18. Quiz Cross Entropy-njq6bYrPqSU.zh-CN.vtt 2.1 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/16. PyTorch V2 Part 5 Solution 2 V1-3Py2SbtZLbc.en.vtt 2.1 KB
- Part 01-Module 01-Lesson 06_Style Transfer/05. 42 StyleLossStyleTransfer V2-VazrQ7u-OHo.pt-BR.vtt 2.1 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/10. Other Architectures-MsxFDuYlTuQ.zh-CN.vtt 2.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/16. One-Hot Encoding-AePvjhyvsBo.pt-BR.vtt 2.0 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/44. ConNet 27 Summary Of CNNs V2 RENDER V3-Te9QCvhx6N8.en.vtt 2.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/16. One-Hot Encoding-AePvjhyvsBo.zh-CN.vtt 2.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/37. Testing-EeBZpb-PSac.zh-CN.vtt 2.0 KB
- Part 01-Module 01-Lesson 06_Style Transfer/01. 01 StyleTransfer V3-_urN9BQ7RHM.en.vtt 2.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/32. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt 2.0 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/15. Sequence-Batching-Z4OiyU0Cldg.zh-CN.vtt 1.9 KB
- Part 01-Module 01-Lesson 04_Introduction to PyTorch/12. PyTorch - Part 4-AEJV_RKZ7VU.zh-CN.vtt 1.9 KB
- Part 01-Module 01-Lesson 06_Style Transfer/05. 42 StyleLossStyleTransfer V2-VazrQ7u-OHo.en.vtt 1.9 KB
- Part 01-Module 01-Lesson 06_Style Transfer/01. 01 StyleTransfer V3-_urN9BQ7RHM.pt-BR.vtt 1.9 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt 1.8 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/11. Non-Linear Regions-B8UrWnHh1Wc.en.vtt 1.8 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/03. Classification Example-46PywnGa_cQ.en.vtt 1.8 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/16. ConNet 13 ImageClassification V1 V2-UHFBnitKraA.en.vtt 1.8 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/08. LSTM 7 Use Gate-5Ifolm1jTdY.en.vtt 1.7 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. Chain Rule-YAhIBOnbt54.pt-BR.vtt 1.7 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/08. LSTM 7 Use Gate-5Ifolm1jTdY.pt-BR.vtt 1.7 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/32. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.zh-CN.vtt 1.7 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/16. ConNet 13 ImageClassification V1 V2-UHFBnitKraA.pt-BR.vtt 1.7 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. Chain Rule-YAhIBOnbt54.en.vtt 1.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/03. Classification Example-46PywnGa_cQ.zh-CN.vtt 1.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/17. Maximum Likelihood 1-1yJx-QtlvNI.en.vtt 1.6 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/20. ConNet 16 FIlters & Edges V2-hfqNqcEU6uI.pt-BR.vtt 1.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.en.vtt 1.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/17. Maximum Likelihood 1-1yJx-QtlvNI.pt-BR.vtt 1.6 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/20. ConNet 16 FIlters & Edges V2-hfqNqcEU6uI.en.vtt 1.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/03. Classification Example-46PywnGa_cQ.pt-BR.vtt 1.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/11. Non-Linear Regions-B8UrWnHh1Wc.zh-CN.vtt 1.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/45. Vanishing Gradient-W_JJm_5syFw.pt-BR.vtt 1.6 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/11. Non-Linear Regions-B8UrWnHh1Wc.pt-BR.vtt 1.5 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/08. LSTM 7 Use Gate-5Ifolm1jTdY.zh-CN.vtt 1.5 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/04. LSTM Architecture-ycwthhdx8ws.en.vtt 1.5 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/04. LSTM Architecture-ycwthhdx8ws.pt-BR.vtt 1.5 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.zh-CN.vtt 1.5 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/45. Vanishing Gradient-W_JJm_5syFw.en.vtt 1.5 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/17. Maximum Likelihood 1-1yJx-QtlvNI.zh-CN.vtt 1.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.pt-BR.vtt 1.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. Chain Rule-YAhIBOnbt54.zh-CN.vtt 1.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/30. Non-Linear Models-HWuBKCZsCo8.pt-BR.vtt 1.4 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/07. Why Neural Networks-zAkzOZntK6Y.en.vtt 1.4 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/04. LSTM Architecture-ycwthhdx8ws.zh-CN.vtt 1.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/28. Continuous Perceptrons-07-JJ-aGEfM.en.vtt 1.3 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/06. Forget Gate-iWxpfxLUPSU.pt-BR.vtt 1.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/28. Continuous Perceptrons-07-JJ-aGEfM.pt-BR.vtt 1.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/30. Non-Linear Models-HWuBKCZsCo8.en.vtt 1.3 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/03. ConNet 01 LessonOutline V1 V1-77LzWE1qQrc.pt-BR.vtt 1.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/07. Why Neural Networks-zAkzOZntK6Y.pt-BR.vtt 1.3 KB
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/03. ConNet 01 LessonOutline V1 V1-77LzWE1qQrc.en.vtt 1.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/48. Learning Rate-TwJ8aSZoh2U.pt-BR.vtt 1.3 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/06. Forget Gate-iWxpfxLUPSU.en.vtt 1.3 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/45. Vanishing Gradient-W_JJm_5syFw.zh-CN.vtt 1.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/07. Why Neural Networks-zAkzOZntK6Y.zh-CN.vtt 1.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/50. Error Functions Around the World-34AAcTECu2A.en.vtt 1.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/40. DL 53 Q Regularization-KxROxcRsHL8.pt-BR.vtt 1.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/28. Continuous Perceptrons-07-JJ-aGEfM.zh-CN.vtt 1.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/40. DL 53 Q Regularization-KxROxcRsHL8.en.vtt 1.2 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/43. Local Minima-gF_sW_nY-xw.en.vtt 1.1 KB
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/06. Forget Gate-iWxpfxLUPSU.zh-CN.vtt 1.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/30. Non-Linear Models-HWuBKCZsCo8.zh-CN.vtt 1.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/48. Learning Rate-TwJ8aSZoh2U.en.vtt 1.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/50. Error Functions Around the World-34AAcTECu2A.pt-BR.vtt 1.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/50. Error Functions Around the World-34AAcTECu2A.zh-CN.vtt 1.1 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/43. Local Minima-gF_sW_nY-xw.pt-BR.vtt 1.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/40. DL 53 Q Regularization-KxROxcRsHL8.zh-CN.vtt 1.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/43. Local Minima-gF_sW_nY-xw.zh-CN.vtt 1.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/08. XOR Perceptron-TF83GfjYLdw.en.vtt 1.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/08. XOR Perceptron-TF83GfjYLdw.pt-BR.vtt 1.0 KB
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/08. XOR Perceptron-TF83GfjYLdw.zh-CN.vtt 1021 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/48. Learning Rate-TwJ8aSZoh2U.zh-CN.vtt 1020 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/18. Quiz - Cross 1--xxrisIvD0E.pt-BR.vtt 947 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/img/codecogseqn-58.gif 919 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/18. Quiz - Cross 1--xxrisIvD0E.en.vtt 918 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/36. Training Optimization-UiGKhx9pUYc.pt-BR.vtt 874 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/36. Training Optimization-UiGKhx9pUYc.zh-CN.vtt 840 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/36. Training Optimization-UiGKhx9pUYc.en.vtt 824 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/18. Quiz - Cross 1--xxrisIvD0E.zh-CN.vtt 813 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/12. Error Functions-YfUUunxWIJw.pt-BR.vtt 804 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/12. Error Functions-YfUUunxWIJw.en.vtt 790 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/12. Error Functions-YfUUunxWIJw.zh-CN.vtt 739 bytes
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/07. Remember Gate-0qlm86HaXuU.en.vtt 734 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/20. Formula For Cross 1-qvr_ego_d6w.pt-BR.vtt 719 bytes
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/07. Remember Gate-0qlm86HaXuU.pt-BR.vtt 700 bytes
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/01. Introducing Alexis-38ExGpdyvJI.en.vtt 694 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/29. Non-Linear Data-F7ZiE8PQiSc.en.vtt 633 bytes
- Part 01-Module 01-Lesson 07_Recurrent Neural Networks/07. Remember Gate-0qlm86HaXuU.zh-CN.vtt 632 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/29. Non-Linear Data-F7ZiE8PQiSc.zh-CN.vtt 624 bytes
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/01. Introducing Alexis-38ExGpdyvJI.zh-CN.vtt 615 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/20. Formula For Cross 1-qvr_ego_d6w.en.vtt 607 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/29. Non-Linear Data-F7ZiE8PQiSc.pt-BR.vtt 600 bytes
- Part 01-Module 01-Lesson 05_Convolutional Neural Networks/01. Introducing Alexis-38ExGpdyvJI.pt-BR.vtt 599 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/14. Discrete vs Continuous-rdP-RPDFkl0.pt-BR.vtt 584 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/14. Discrete vs Continuous-rdP-RPDFkl0.en.vtt 551 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/15. Quiz - Softmax-NNoezNnAMTY.zh-CN.vtt 548 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/20. Formula For Cross 1-qvr_ego_d6w.zh-CN.vtt 545 bytes
- [TGx]Downloaded from torrentgalaxy.org.txt 524 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/15. Quiz - Softmax-NNoezNnAMTY.pt-BR.vtt 501 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/15. Quiz - Softmax-NNoezNnAMTY.en.vtt 495 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/14. Discrete vs Continuous-rdP-RPDFkl0.zh-CN.vtt 481 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/44. Random Restart-idyBBCzXiqg.pt-BR.vtt 478 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/44. Random Restart-idyBBCzXiqg.en.vtt 466 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt 420 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/44. Random Restart-idyBBCzXiqg.zh-CN.vtt 419 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.zh-CN.vtt 390 bytes
- Part 01-Module 01-Lesson 02_Introduction to Neural Networks/09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt 364 bytes
- Torrent Downloaded From GloDls.to.txt 84 bytes
- Presented By SaM.txt 33 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.