The Complete Self-Driving Car Course - Applied Deep Learning

Creation Time	Oct. 21, 2023, 2:08 p.m.
Last Access Time	Dec. 22, 2024, 4:12 a.m.
File Size	8.3 GB
Keywords	Applied Complete Car - Deep Course Learning The Self-Driving
Total Requests	57
Total Files	315
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12. Traffic Sign Classification/3. Preprocessing Images.mp4 330.4 MB
14. Behavioural Cloning/2. Collecting Data.mp4 282.4 MB
11. Convolutional Neural Networks/8. Code Implementation I.mp4 254.5 MB
9. Multiclass Classification/4. Implementation.mp4 245.3 MB
11. Convolutional Neural Networks/3. Convolutional Layer.mp4 229.8 MB
11. Convolutional Neural Networks/9. Code Implementation II.mp4 213.4 MB
8. Deep Neural Networks/7. Code Implementation.mp4 204.2 MB
14. Behavioural Cloning/7. Defining Nvidia Model.mp4 198.5 MB
10. MNIST Image Recognition/5. Implementation Part 1.mp4 194.0 MB
7. Keras/4. Keras Models.mp4 175.3 MB
5. Computer Vision Finding Lane-Lines/11. Optimizing.mp4 164.5 MB
11. Convolutional Neural Networks/5. Pooling.mp4 161.9 MB
14. Behavioural Cloning/6. Preprocessing Images.mp4 161.7 MB
12. Traffic Sign Classification/8. Fit Generator.mp4 159.8 MB
10. MNIST Image Recognition/6. Implementation Part 2.mp4 155.9 MB
7. Keras/5. Keras - Predictions.mp4 144.4 MB
9. Multiclass Classification/2. Softmax.mp4 141.7 MB
5. Computer Vision Finding Lane-Lines/9. Hough Transform.mp4 132.6 MB
10. MNIST Image Recognition/3. Train & Test.mp4 132.0 MB
14. Behavioural Cloning/3. Downloading Data.mp4 130.6 MB
12. Traffic Sign Classification/4. leNet Implementation.mp4 129.4 MB
13. Polynomial Regression/2. Implementation.mp4 128.9 MB
8. Deep Neural Networks/3. Architecture.mp4 126.0 MB
12. Traffic Sign Classification/5. Fine-tuning Model.mp4 117.0 MB
5. Computer Vision Finding Lane-Lines/10. Hough Transform II.mp4 114.7 MB
4. NumPy Crash Course (Optional)/3. Multidimensional Arrays.mp4 96.8 MB
5. Computer Vision Finding Lane-Lines/8. Binary Numbers & Bitwise_and.mp4 91.8 MB
6. Intro to Neural Networks/12. Sigmoid Implementation (Code).mp4 90.7 MB
11. Convolutional Neural Networks/2. Convolutions & MNIST.mp4 90.0 MB
8. Deep Neural Networks/4. Feedforward Process.mp4 88.9 MB
4. NumPy Crash Course (Optional)/2. Vector Addition - Arrays vs Lists.mp4 86.8 MB
6. Intro to Neural Networks/5. Linear Model.mp4 86.4 MB
5. Computer Vision Finding Lane-Lines/13. Finding Lanes on Video.mp4 82.8 MB
4. NumPy Crash Course (Optional)/9. Stacking.mp4 82.3 MB
6. Intro to Neural Networks/4. Classification.mp4 82.1 MB
9. Multiclass Classification/3. Cross Entropy.mp4 81.9 MB
10. MNIST Image Recognition/4. Hyperparameters.mp4 81.2 MB
11. Convolutional Neural Networks/4. Convolutions II.mp4 79.8 MB
6. Intro to Neural Networks/8. Project - Initial Stages.mp4 78.2 MB
11. Convolutional Neural Networks/6. Fully Connected Layer.mp4 77.9 MB
6. Intro to Neural Networks/18. Gradient Descent (Code).mp4 75.7 MB
10. MNIST Image Recognition/8. Implementation Part 3.mp4 75.3 MB
14. Behavioural Cloning/4. Balancing Data.mp4 74.7 MB
8. Deep Neural Networks/2. Non-Linear Boundaries.mp4 71.1 MB
10. MNIST Image Recognition/2. MNIST Dataset.mp4 71.0 MB
14. Behavioural Cloning/5. Training & Validation Split.mp4 65.7 MB
8. Deep Neural Networks/6. Backpropagation.mp4 65.4 MB
12. Traffic Sign Classification/7. Testing.mp4 63.1 MB
6. Intro to Neural Networks/14. Cross Entropy.mp4 62.7 MB
6. Intro to Neural Networks/11. Sigmoid.mp4 61.7 MB
6. Intro to Neural Networks/15. Cross Entropy (Code).mp4 61.2 MB
3. Python Crash Course (Optional)/9. Slicing.mp4 55.6 MB
8. Deep Neural Networks/5. Error Function.mp4 54.1 MB
6. Intro to Neural Networks/6. Perceptrons.mp4 50.7 MB
14. Behavioural Cloning/1. Overview.mp4 50.2 MB
5. Computer Vision Finding Lane-Lines/7. Region of Interest.mp4 49.3 MB
4. NumPy Crash Course (Optional)/6. Multidimensional Slicing.mp4 49.2 MB
3. Python Crash Course (Optional)/21. elif.mp4 49.0 MB
4. NumPy Crash Course (Optional)/7. Manipulating Array Shapes.mp4 47.8 MB
5. Computer Vision Finding Lane-Lines/4. Grayscale.mp4 47.2 MB
3. Python Crash Course (Optional)/13. Common Functions & Methods.mp4 46.8 MB
6. Intro to Neural Networks/3. Linear Regression.mp4 46.6 MB
6. Intro to Neural Networks/17. Gradient Descent.mp4 45.2 MB
5. Computer Vision Finding Lane-Lines/6. Canny Edge Detection.mp4 42.6 MB
3. Python Crash Course (Optional)/5. String Data Types.mp4 42.0 MB
2. Installation/3. Jupyter Notebooks.mp4 41.9 MB
6. Intro to Neural Networks/10. Error Function.mp4 41.6 MB
1. Introduction/1. Introduction.mp4 40.4 MB
3. Python Crash Course (Optional)/23. For Loops.mp4 38.5 MB
6. Intro to Neural Networks/2. Machine Learning.mp4 37.0 MB
3. Python Crash Course (Optional)/8. Lists.mp4 35.8 MB
3. Python Crash Course (Optional)/16. Dictionaries.mp4 35.3 MB
4. NumPy Crash Course (Optional)/8. Matrix Multiplication.mp4 34.3 MB
3. Python Crash Course (Optional)/11. Mutability.mp4 33.0 MB
5. Computer Vision Finding Lane-Lines/13.1 test2.mp4.mp4 31.9 MB
3. Python Crash Course (Optional)/12. Mutability II.mp4 31.6 MB
3. Python Crash Course (Optional)/29. Functions.mp4 31.6 MB
5. Computer Vision Finding Lane-Lines/3. Loading Images.mp4 30.7 MB
5. Computer Vision Finding Lane-Lines/5. Gaussian Blur.mp4 30.6 MB
3. Python Crash Course (Optional)/22. Complex Comparisons.mp4 29.5 MB
2. Installation/4. Text Editor.mp4 29.1 MB
3. Python Crash Course (Optional)/32. Lambda & Higher Order Functions.mp4 28.4 MB
5. Computer Vision Finding Lane-Lines/12.1 test2.mp4.zip.zip 28.0 MB
4. NumPy Crash Course (Optional)/4. One Dimensional Slicing.mp4 27.8 MB
6. Intro to Neural Networks/1. Overview.mp4 27.8 MB
3. Python Crash Course (Optional)/3. Variables.mp4 27.7 MB
3. Python Crash Course (Optional)/20. If, else.mp4 27.2 MB
2. Installation/2. Anaconda Distribution.mp4 26.3 MB
3. Python Crash Course (Optional)/2. Arithmetic Operations.mp4 25.4 MB
6. Intro to Neural Networks/7. Weights.mp4 25.3 MB
3. Python Crash Course (Optional)/6. Booleans.mp4 24.2 MB
3. Python Crash Course (Optional)/4. Numeric Data Types.mp4 23.5 MB
4. NumPy Crash Course (Optional)/5. Reshaping.mp4 23.4 MB
3. Python Crash Course (Optional)/14. Tuples.mp4 23.1 MB
7. Keras/2. Intro to Keras.mp4 21.4 MB
3. Python Crash Course (Optional)/7. Methods.mp4 20.7 MB
3. Python Crash Course (Optional)/17. Compound Data Structures.mp4 20.2 MB
3. Python Crash Course (Optional)/25. While Loops.mp4 20.2 MB
3. Python Crash Course (Optional)/26. Break.mp4 19.7 MB
3. Python Crash Course (Optional)/15. Sets.mp4 19.6 MB
3. Python Crash Course (Optional)/31. Doc Strings.mp4 19.6 MB
6. Intro to Neural Networks/19. Recap.mp4 17.7 MB
8. Deep Neural Networks/1. Overview.mp4 15.6 MB
3. Python Crash Course (Optional)/1. Python Crash Course Part 1 - Data Types.mp4 15.2 MB
3. Python Crash Course (Optional)/24. For Loops II.mp4 15.1 MB
12. Traffic Sign Classification/1. Overview.mp4 14.5 MB
3. Python Crash Course (Optional)/10. Membership Operators.mp4 13.8 MB
3. Python Crash Course (Optional)/30. Scope.mp4 13.2 MB
3. Python Crash Course (Optional)/19. Part 2 - Control Flow.mp4 11.5 MB
3. Python Crash Course (Optional)/28. Part 3 - Functions.mp4 11.4 MB
10. MNIST Image Recognition/1. Overview.mp4 10.8 MB
4. NumPy Crash Course (Optional)/1. Overview.mp4 10.6 MB
2. Installation/1. Overview.mp4 10.5 MB
9. Multiclass Classification/1. Overview.mp4 10.4 MB
5. Computer Vision Finding Lane-Lines/15. Part 5 - Conclusion.mp4 10.2 MB
12. Traffic Sign Classification/10. Section 12 - Outro.mp4 9.9 MB
6. Intro to Neural Networks/21. Part 6 - Conclusion.mp4 9.7 MB
11. Convolutional Neural Networks/1. Overview.mp4 9.6 MB
5. Computer Vision Finding Lane-Lines/1. Overview.mp4 9.0 MB
3. Python Crash Course (Optional)/33. Part 3 - Outro.mp4 8.8 MB
13. Polynomial Regression/1. Overview.mp4 7.5 MB
7. Keras/1. Overview.mp4 6.8 MB
8. Deep Neural Networks/9. Section 8 - Conclusion.mp4 6.0 MB
10. MNIST Image Recognition/10. Section 10 - Outro.mp4 5.9 MB
2. Installation/5. Outro.mp4 5.5 MB
9. Multiclass Classification/6. Section 9 - Outro.mp4 5.4 MB
13. Polynomial Regression/4. Section 13 - Conclusion.mp4 5.2 MB
7. Keras/7. Part 7 - Outro.mp4 4.8 MB
11. Convolutional Neural Networks/11. Section 11 - Conclusion.mp4 4.8 MB
3. Python Crash Course (Optional)/27. Part 2 - Outro.mp4 4.5 MB
3. Python Crash Course (Optional)/18. Part 1 - Outro.mp4 3.6 MB
4. NumPy Crash Course (Optional)/10. Part 4 - Outro.mp4 2.5 MB
5. Computer Vision Finding Lane-Lines/2.1 Image.zip.zip 759.1 KB
5. Computer Vision Finding Lane-Lines/3.1 Image.zip.zip 759.1 KB
12. Traffic Sign Classification/3. Preprocessing Images.vtt 43.1 KB
9. Multiclass Classification/4. Implementation.vtt 35.2 KB
10. MNIST Image Recognition/5. Implementation Part 1.vtt 34.5 KB
11. Convolutional Neural Networks/8. Code Implementation I.vtt 32.4 KB
8. Deep Neural Networks/7. Code Implementation.vtt 29.4 KB
11. Convolutional Neural Networks/9. Code Implementation II.vtt 26.4 KB
7. Keras/4. Keras Models.vtt 24.1 KB
10. MNIST Image Recognition/6. Implementation Part 2.vtt 21.4 KB
12. Traffic Sign Classification/4. leNet Implementation.vtt 20.3 KB
7. Keras/5. Keras - Predictions.vtt 20.3 KB
11. Convolutional Neural Networks/3. Convolutional Layer.vtt 20.0 KB
11. Convolutional Neural Networks/5. Pooling.vtt 16.0 KB
12. Traffic Sign Classification/5. Fine-tuning Model.vtt 15.3 KB
5. Computer Vision Finding Lane-Lines/11. Optimizing.vtt 14.8 KB
9. Multiclass Classification/2. Softmax.vtt 14.4 KB
10. MNIST Image Recognition/3. Train & Test.vtt 14.3 KB
5. Computer Vision Finding Lane-Lines/10. Hough Transform II.vtt 14.2 KB
6. Intro to Neural Networks/12. Sigmoid Implementation (Code).vtt 13.2 KB
4. NumPy Crash Course (Optional)/9. Stacking.vtt 12.9 KB
6. Intro to Neural Networks/8. Project - Initial Stages.vtt 12.9 KB
4. NumPy Crash Course (Optional)/2. Vector Addition - Arrays vs Lists.vtt 12.7 KB
5. Computer Vision Finding Lane-Lines/9. Hough Transform.vtt 12.1 KB
4. NumPy Crash Course (Optional)/3. Multidimensional Arrays.vtt 11.8 KB
8. Deep Neural Networks/3. Architecture.vtt 11.7 KB
10. MNIST Image Recognition/8. Implementation Part 3.vtt 11.0 KB
9. Multiclass Classification/3. Cross Entropy.vtt 10.3 KB
5. Computer Vision Finding Lane-Lines/8. Binary Numbers & Bitwise_and.vtt 10.3 KB
14. Behavioural Cloning/14. Final Source Code.html 10.1 KB
15. Final Codes & Outputs/11. Code 10 - Behavioural Cloning.html 10.1 KB
8. Deep Neural Networks/4. Feedforward Process.vtt 9.9 KB
6. Intro to Neural Networks/18. Gradient Descent (Code).vtt 9.5 KB
11. Convolutional Neural Networks/4. Convolutions II.vtt 8.6 KB
6. Intro to Neural Networks/4. Classification.vtt 8.6 KB
6. Intro to Neural Networks/15. Cross Entropy (Code).vtt 8.5 KB
4. NumPy Crash Course (Optional)/7. Manipulating Array Shapes.vtt 8.4 KB
6. Intro to Neural Networks/5. Linear Model.vtt 7.8 KB
3. Python Crash Course (Optional)/9. Slicing.vtt 7.8 KB
5. Computer Vision Finding Lane-Lines/7. Region of Interest.vtt 7.8 KB
6. Intro to Neural Networks/11. Sigmoid.vtt 7.4 KB
10. MNIST Image Recognition/4. Hyperparameters.vtt 7.4 KB
4. NumPy Crash Course (Optional)/6. Multidimensional Slicing.vtt 7.3 KB
6. Intro to Neural Networks/14. Cross Entropy.vtt 7.3 KB
12. Traffic Sign Classification/9. Final Source Code.html 7.3 KB
15. Final Codes & Outputs/9. Code 8 - Traffic Sign Classification.html 7.3 KB
5. Computer Vision Finding Lane-Lines/13. Finding Lanes on Video.vtt 7.1 KB
11. Convolutional Neural Networks/2. Convolutions & MNIST.vtt 7.1 KB
3. Python Crash Course (Optional)/13. Common Functions & Methods.vtt 7.1 KB
11. Convolutional Neural Networks/6. Fully Connected Layer.vtt 7.1 KB
3. Python Crash Course (Optional)/23. For Loops.vtt 6.6 KB
8. Deep Neural Networks/6. Backpropagation.vtt 6.6 KB
3. Python Crash Course (Optional)/21. elif.vtt 6.5 KB
3. Python Crash Course (Optional)/32. Lambda & Higher Order Functions.vtt 6.5 KB
11. Convolutional Neural Networks/7. Starter Code.html 6.4 KB
2. Installation/3. Jupyter Notebooks.vtt 6.1 KB
8. Deep Neural Networks/2. Non-Linear Boundaries.vtt 5.9 KB
3. Python Crash Course (Optional)/5. String Data Types.vtt 5.7 KB
10. MNIST Image Recognition/2. MNIST Dataset.vtt 5.7 KB
3. Python Crash Course (Optional)/8. Lists.vtt 5.7 KB
3. Python Crash Course (Optional)/3. Variables.vtt 5.5 KB
8. Deep Neural Networks/5. Error Function.vtt 5.5 KB
3. Python Crash Course (Optional)/29. Functions.vtt 5.3 KB
15. Final Codes & Outputs/8. Code 7 - Convolutional Neural Networks.html 5.1 KB
11. Convolutional Neural Networks/10. Final Source Code.html 5.0 KB
6. Intro to Neural Networks/10. Error Function.vtt 4.9 KB
3. Python Crash Course (Optional)/2. Arithmetic Operations.vtt 4.8 KB
5. Computer Vision Finding Lane-Lines/3. Loading Images.vtt 4.8 KB
6. Intro to Neural Networks/3. Linear Regression.vtt 4.8 KB
3. Python Crash Course (Optional)/16. Dictionaries.vtt 4.8 KB
3. Python Crash Course (Optional)/22. Complex Comparisons.vtt 4.7 KB
5. Computer Vision Finding Lane-Lines/6. Canny Edge Detection.vtt 4.7 KB
6. Intro to Neural Networks/6. Perceptrons.vtt 4.7 KB
5. Computer Vision Finding Lane-Lines/4. Grayscale.vtt 4.7 KB
3. Python Crash Course (Optional)/6. Booleans.vtt 4.6 KB
3. Python Crash Course (Optional)/20. If, else.vtt 4.4 KB
4. NumPy Crash Course (Optional)/8. Matrix Multiplication.vtt 4.2 KB
3. Python Crash Course (Optional)/11. Mutability.vtt 4.1 KB
3. Python Crash Course (Optional)/4. Numeric Data Types.vtt 4.1 KB
4. NumPy Crash Course (Optional)/4. One Dimensional Slicing.vtt 3.9 KB
15. Final Codes & Outputs/7. Code 6 - MNIST Image Recognition.html 3.7 KB
10. MNIST Image Recognition/9. Final Source Code.html 3.7 KB
3. Python Crash Course (Optional)/12. Mutability II.vtt 3.6 KB
4. NumPy Crash Course (Optional)/5. Reshaping.vtt 3.5 KB
3. Python Crash Course (Optional)/26. Break.vtt 3.5 KB
6. Intro to Neural Networks/2. Machine Learning.vtt 3.5 KB
5. Computer Vision Finding Lane-Lines/5. Gaussian Blur.vtt 3.4 KB
6. Intro to Neural Networks/17. Gradient Descent.vtt 3.4 KB
3. Python Crash Course (Optional)/14. Tuples.vtt 3.3 KB
3. Python Crash Course (Optional)/7. Methods.vtt 3.3 KB
2. Installation/4. Text Editor.vtt 3.2 KB
1. Introduction/1. Introduction.vtt 3.2 KB
3. Python Crash Course (Optional)/25. While Loops.vtt 3.1 KB
3. Python Crash Course (Optional)/24. For Loops II.vtt 2.9 KB
15. Final Codes & Outputs/2. Code 1 - Computer Vision.html 2.9 KB
5. Computer Vision Finding Lane-Lines/14. Source Code.html 2.9 KB
2. Installation/2. Anaconda Distribution.vtt 2.9 KB
3. Python Crash Course (Optional)/15. Sets.vtt 2.7 KB
3. Python Crash Course (Optional)/10. Membership Operators.vtt 2.6 KB
3. Python Crash Course (Optional)/31. Doc Strings.vtt 2.6 KB
6. Intro to Neural Networks/19. Recap.vtt 2.6 KB
3. Python Crash Course (Optional)/17. Compound Data Structures.vtt 2.4 KB
7. Keras/2. Intro to Keras.vtt 2.4 KB
15. Final Codes & Outputs/6. Code 5 - Multiclass Classification.html 2.3 KB
9. Multiclass Classification/5. Source Code.html 2.3 KB
6. Intro to Neural Networks/7. Weights.vtt 2.3 KB
15. Final Codes & Outputs/4. Code 3 - Intro to Keras.html 2.3 KB
7. Keras/6. Source Code.html 2.2 KB
12. Traffic Sign Classification/6. Resources Needed for Testing.html 2.1 KB
14. Behavioural Cloning/8. Drive.py code.html 2.0 KB
15. Final Codes & Outputs/5. Code 4 - Deep Neural Networks.html 1.9 KB
15. Final Codes & Outputs/3. Code 2 - Intro to Neural Networks.html 1.9 KB
6. Intro to Neural Networks/20. Source Code.html 1.9 KB
6. Intro to Neural Networks/1. Overview.vtt 1.9 KB
8. Deep Neural Networks/8. Source Code.html 1.9 KB
3. Python Crash Course (Optional)/30. Scope.vtt 1.8 KB
12. Traffic Sign Classification/3.1 Traffic Signs Starter Project.ipynb.zip.zip 1.5 KB
12. Traffic Sign Classification/2. Traffic Signs Starter Code.html 1.5 KB
3. Python Crash Course (Optional)/1. Python Crash Course Part 1 - Data Types.vtt 1.3 KB
6. Intro to Neural Networks/8.1 Initial Stages.ipynb.zip.zip 1.3 KB
6. Intro to Neural Networks/9.1 Initial Stages.ipynb.zip.zip 1.3 KB
12. Traffic Sign Classification/1. Overview.vtt 1.3 KB
6. Intro to Neural Networks/16. Source Code.html 1.2 KB
3. Python Crash Course (Optional)/28. Part 3 - Functions.vtt 1.1 KB
2. Installation/1. Overview.vtt 1.0 KB
6. Intro to Neural Networks/13. Source code.html 1022 bytes
3. Python Crash Course (Optional)/19. Part 2 - Control Flow.vtt 1007 bytes
8. Deep Neural Networks/1. Overview.vtt 998 bytes
10. MNIST Image Recognition/1. Overview.vtt 971 bytes
11. Convolutional Neural Networks/1. Overview.vtt 943 bytes
4. NumPy Crash Course (Optional)/1. Overview.vtt 937 bytes
15. Final Codes & Outputs/10. Code 9 - Polynomial Regression.html 862 bytes
3. Python Crash Course (Optional)/33. Part 3 - Outro.vtt 841 bytes
13. Polynomial Regression/3. Final Source Code.html 806 bytes
5. Computer Vision Finding Lane-Lines/15. Part 5 - Conclusion.vtt 793 bytes
9. Multiclass Classification/1. Overview.vtt 780 bytes
5. Computer Vision Finding Lane-Lines/1. Overview.vtt 772 bytes
6. Intro to Neural Networks/21. Part 6 - Conclusion.vtt 764 bytes
2. Installation/5. Outro.vtt 721 bytes
7. Keras/1. Overview.vtt 669 bytes
6. Intro to Neural Networks/9. Sample Code for Initial Stages.html 575 bytes
10. MNIST Image Recognition/10. Section 10 - Outro.vtt 523 bytes
8. Deep Neural Networks/9. Section 8 - Conclusion.vtt 505 bytes
7. Keras/3. Starter Code.html 496 bytes
7. Keras/7. Part 7 - Outro.vtt 449 bytes
9. Multiclass Classification/6. Section 9 - Outro.vtt 443 bytes
3. Python Crash Course (Optional)/27. Part 2 - Outro.vtt 432 bytes
11. Convolutional Neural Networks/11. Section 11 - Conclusion.vtt 418 bytes
3. Python Crash Course (Optional)/18. Part 1 - Outro.vtt 359 bytes
14. Behavioural Cloning/9. Flask & Socket.io.mp4 351 bytes
14. Behavioural Cloning/10. Self Driving Car - Test 1.mp4 351 bytes
14. Behavioural Cloning/11. Generator - Augmentation Techniques.mp4 351 bytes
14. Behavioural Cloning/12. Batch Generator.mp4 351 bytes
14. Behavioural Cloning/13. Fit Generator.mp4 351 bytes
14. Behavioural Cloning/15. Outro.mp4 351 bytes
15. Final Codes & Outputs/12. Simulation Output Results - Training Track.mp4 351 bytes
15. Final Codes & Outputs/13. Simulation Output Results - Test Track.mp4 351 bytes
12. Traffic Sign Classification/7. Testing.vtt 333 bytes
12. Traffic Sign Classification/8. Fit Generator.vtt 333 bytes
12. Traffic Sign Classification/10. Section 12 - Outro.vtt 333 bytes
13. Polynomial Regression/1. Overview.vtt 333 bytes
13. Polynomial Regression/2. Implementation.vtt 333 bytes
13. Polynomial Regression/4. Section 13 - Conclusion.vtt 333 bytes
14. Behavioural Cloning/1. Overview.vtt 333 bytes
14. Behavioural Cloning/2. Collecting Data.vtt 333 bytes
14. Behavioural Cloning/3. Downloading Data.vtt 333 bytes
14. Behavioural Cloning/4. Balancing Data.vtt 333 bytes
14. Behavioural Cloning/5. Training & Validation Split.vtt 333 bytes
14. Behavioural Cloning/6. Preprocessing Images.vtt 333 bytes
14. Behavioural Cloning/7. Defining Nvidia Model.vtt 333 bytes
14. Behavioural Cloning/9. Flask & Socket.io.vtt 333 bytes
14. Behavioural Cloning/10. Self Driving Car - Test 1.vtt 333 bytes
14. Behavioural Cloning/11. Generator - Augmentation Techniques.vtt 333 bytes
14. Behavioural Cloning/12. Batch Generator.vtt 333 bytes
14. Behavioural Cloning/13. Fit Generator.vtt 333 bytes
14. Behavioural Cloning/15. Outro.vtt 333 bytes
15. Final Codes & Outputs/12. Simulation Output Results - Training Track.vtt 333 bytes
15. Final Codes & Outputs/13. Simulation Output Results - Test Track.vtt 333 bytes
15. Final Codes & Outputs/1. Overview.html 328 bytes
4. NumPy Crash Course (Optional)/10. Part 4 - Outro.vtt 250 bytes
10. MNIST Image Recognition/7. Resource for upcoming video.html 240 bytes
5. Computer Vision Finding Lane-Lines/12. Resource for upcoming video.html 101 bytes
5. Computer Vision Finding Lane-Lines/2. Image needed for the next lesson.html 65 bytes

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