Applied Deep Learning The Complete Self-Driving Car Course

磁力链接/BT种子名称

Applied Deep Learning The Complete Self-Driving Car Course

磁力链接/BT种子简介

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文件大小： 9.49G
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收录时间：2021-04-04
最近下载：2025-01-02

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文件列表

  • 14. Behavioural Cloning/11. Generator - Augmentation Techniques.mp4 399.4 MB
  • 12. Traffic Sign Classification/3. Preprocessing Images.mp4 346.4 MB
  • 14. Behavioural Cloning/2. Collecting Data.mp4 296.1 MB
  • 11. Convolutional Neural Networks/8. Code Implementation I.mp4 266.9 MB
  • 14. Behavioural Cloning/13. Fit Generator.mp4 260.5 MB
  • 9. Multiclass Classification/4. Implementation.mp4 257.2 MB
  • 11. Convolutional Neural Networks/3. Convolutional Layer.mp4 241.0 MB
  • 11. Convolutional Neural Networks/9. Code Implementation II.mp4 223.8 MB
  • 8. Deep Neural Networks/7. Code Implementation.mp4 214.2 MB
  • 14. Behavioural Cloning/7. Defining Nvidia Model.mp4 208.2 MB
  • 10. MNIST Image Recognition/5. Implementation Part 1.mp4 203.4 MB
  • 7. Keras/4. Keras Models.mp4 183.8 MB
  • 14. Behavioural Cloning/10. Self Driving Car - Test 1.mp4 174.0 MB
  • 5. Computer Vision Finding Lane-Lines/10. Optimizing.mp4 172.5 MB
  • 11. Convolutional Neural Networks/5. Pooling.mp4 169.8 MB
  • 14. Behavioural Cloning/6. Preprocessing Images.mp4 169.6 MB
  • 12. Traffic Sign Classification/8. Fit Generator.mp4 167.6 MB
  • 10. MNIST Image Recognition/6. Implementation Part 2.mp4 163.5 MB
  • 15. Final Codes & Outputs/13. Simulation Output Results - Test Track.mp4 157.8 MB
  • 7. Keras/5. Keras - Predictions.mp4 151.5 MB
  • 9. Multiclass Classification/2. Softmax.mp4 148.5 MB
  • 5. Computer Vision Finding Lane-Lines/8. Hough Transform.mp4 139.1 MB
  • 10. MNIST Image Recognition/3. Train & Test.mp4 138.4 MB
  • 14. Behavioural Cloning/3. Downloading Data.mp4 137.0 MB
  • 12. Traffic Sign Classification/4. leNet Implementation.mp4 135.7 MB
  • 13. Polynomial Regression/2. Implementation.mp4 135.1 MB
  • 8. Deep Neural Networks/3. Architecture.mp4 132.1 MB
  • 12. Traffic Sign Classification/5. Fine-tuning Model.mp4 122.7 MB
  • 5. Computer Vision Finding Lane-Lines/9. Hough Transform II.mp4 120.3 MB
  • 15. Final Codes & Outputs/12. Simulation Output Results - Training Track.mp4 112.8 MB
  • 14. Behavioural Cloning/9. Flask & Socket.io.mp4 104.6 MB
  • 4. NumPy Crash Course (Optional)/3. Multidimensional Arrays.mp4 101.5 MB
  • 14. Behavioural Cloning/12. Batch Generator.mp4 99.7 MB
  • 5. Computer Vision Finding Lane-Lines/7. Binary Numbers & Bitwise_and.mp4 96.2 MB
  • 6. Intro to Neural Networks/12. Sigmoid Implementation (Code).mp4 95.1 MB
  • 11. Convolutional Neural Networks/2. Convolutions & MNIST.mp4 94.3 MB
  • 8. Deep Neural Networks/4. Feedforward Process.mp4 93.2 MB
  • 6. Intro to Neural Networks/5. Linear Model.mp4 90.6 MB
  • 5. Computer Vision Finding Lane-Lines/12. Finding Lanes on Video.mp4 86.8 MB
  • 4. NumPy Crash Course (Optional)/9. Stacking.mp4 86.3 MB
  • 6. Intro to Neural Networks/4. Classification.mp4 86.1 MB
  • 9. Multiclass Classification/3. Cross Entropy.mp4 85.9 MB
  • 10. MNIST Image Recognition/4. Hyperparameters.mp4 85.2 MB
  • 4. NumPy Crash Course (Optional)/2. Vector Addition - Arrays vs Lists.mp4 84.5 MB
  • 11. Convolutional Neural Networks/4. Convolutions II.mp4 83.7 MB
  • 6. Intro to Neural Networks/8. Project - Initial Stages.mp4 82.1 MB
  • 11. Convolutional Neural Networks/6. Fully Connected Layer.mp4 81.7 MB
  • 6. Intro to Neural Networks/18. Gradient Descent (Code).mp4 79.4 MB
  • 10. MNIST Image Recognition/8. Implementation Part 3.mp4 79.0 MB
  • 14. Behavioural Cloning/4. Balancing Data.mp4 78.3 MB
  • 8. Deep Neural Networks/2. Non-Linear Boundaries.mp4 74.6 MB
  • 10. MNIST Image Recognition/2. MNIST Dataset.mp4 74.4 MB
  • 14. Behavioural Cloning/5. Training & Validation Split.mp4 68.9 MB
  • 8. Deep Neural Networks/6. Backpropagation.mp4 68.6 MB
  • 12. Traffic Sign Classification/7. Testing.mp4 66.2 MB
  • 6. Intro to Neural Networks/14. Cross Entropy.mp4 65.8 MB
  • 6. Intro to Neural Networks/11. Sigmoid.mp4 64.7 MB
  • 6. Intro to Neural Networks/15. Cross Entropy (Code).mp4 64.2 MB
  • 3. Python Crash Course (Optional)/9. Slicing.mp4 58.3 MB
  • 8. Deep Neural Networks/5. Error Function.mp4 56.7 MB
  • 6. Intro to Neural Networks/6. Perceptrons.mp4 53.1 MB
  • 14. Behavioural Cloning/1. Overview.mp4 52.6 MB
  • 5. Computer Vision Finding Lane-Lines/6. Region of Interest.mp4 51.7 MB
  • 4. NumPy Crash Course (Optional)/6. Multidimensional Slicing.mp4 51.6 MB
  • 3. Python Crash Course (Optional)/21. elif.mp4 51.4 MB
  • 4. NumPy Crash Course (Optional)/7. Manipulating Array Shapes.mp4 50.1 MB
  • 5. Computer Vision Finding Lane-Lines/3. Grayscale.mp4 49.5 MB
  • 3. Python Crash Course (Optional)/13. Common Functions & Methods.mp4 49.1 MB
  • 6. Intro to Neural Networks/3. Linear Regression.mp4 48.8 MB
  • 6. Intro to Neural Networks/17. Gradient Descent.mp4 47.4 MB
  • 5. Computer Vision Finding Lane-Lines/5. Canny Edge Detection.mp4 44.7 MB
  • 3. Python Crash Course (Optional)/5. String Data Types.mp4 44.0 MB
  • 2. Installation/3. Jupyter Notebooks.mp4 44.0 MB
  • 6. Intro to Neural Networks/10. Error Function.mp4 43.7 MB
  • 1. Introduction/1. Introduction.mp4 42.4 MB
  • 3. Python Crash Course (Optional)/23. For Loops.mp4 40.4 MB
  • 6. Intro to Neural Networks/2. Machine Learning.mp4 38.8 MB
  • 3. Python Crash Course (Optional)/8. Lists.mp4 37.6 MB
  • 3. Python Crash Course (Optional)/16. Dictionaries.mp4 37.1 MB
  • 4. NumPy Crash Course (Optional)/8. Matrix Multiplication.mp4 35.9 MB
  • 3. Python Crash Course (Optional)/11. Mutability.mp4 34.6 MB
  • 5. Computer Vision Finding Lane-Lines/12.1 test2.mp4.mp4 33.5 MB
  • 5. Computer Vision Finding Lane-Lines/11.1 test2.mp4.zip/test2.mp4 33.5 MB
  • 3. Python Crash Course (Optional)/12. Mutability II.mp4 33.2 MB
  • 3. Python Crash Course (Optional)/29. Functions.mp4 33.2 MB
  • 5. Computer Vision Finding Lane-Lines/2. Loading Images.mp4 32.2 MB
  • 5. Computer Vision Finding Lane-Lines/4. Gaussian Blur.mp4 32.0 MB
  • 3. Python Crash Course (Optional)/22. Complex Comparisons.mp4 31.0 MB
  • 2. Installation/4. Text Editor.mp4 30.5 MB
  • 3. Python Crash Course (Optional)/32. Lambda & Higher Order Functions.mp4 29.8 MB
  • 4. NumPy Crash Course (Optional)/4. One Dimensional Slicing.mp4 29.1 MB
  • 6. Intro to Neural Networks/1. Overview.mp4 29.1 MB
  • 3. Python Crash Course (Optional)/3. Variables.mp4 29.0 MB
  • 3. Python Crash Course (Optional)/20. If, else.mp4 28.5 MB
  • 2. Installation/2. Anaconda Distribution.mp4 27.6 MB
  • 3. Python Crash Course (Optional)/2. Arithmetic Operations.mp4 26.7 MB
  • 6. Intro to Neural Networks/7. Weights.mp4 26.5 MB
  • 3. Python Crash Course (Optional)/6. Booleans.mp4 25.4 MB
  • 3. Python Crash Course (Optional)/4. Numeric Data Types.mp4 24.6 MB
  • 4. NumPy Crash Course (Optional)/5. Reshaping.mp4 24.5 MB
  • 3. Python Crash Course (Optional)/14. Tuples.mp4 24.2 MB
  • 7. Keras/2. Intro to Keras.mp4 22.5 MB
  • 3. Python Crash Course (Optional)/7. Methods.mp4 21.7 MB
  • 3. Python Crash Course (Optional)/17. Compound Data Structures.mp4 21.2 MB
  • 3. Python Crash Course (Optional)/25. While Loops.mp4 21.2 MB
  • 3. Python Crash Course (Optional)/26. Break.mp4 20.7 MB
  • 3. Python Crash Course (Optional)/15. Sets.mp4 20.6 MB
  • 3. Python Crash Course (Optional)/31. Doc Strings.mp4 20.5 MB
  • 14. Behavioural Cloning/15. Outro.mp4 20.5 MB
  • 6. Intro to Neural Networks/19. Recap.mp4 18.6 MB
  • 8. Deep Neural Networks/1. Overview.mp4 16.4 MB
  • 3. Python Crash Course (Optional)/1. Python Crash Course Part 1 - Data Types.mp4 16.0 MB
  • 3. Python Crash Course (Optional)/24. For Loops II.mp4 15.8 MB
  • 12. Traffic Sign Classification/1. Overview.mp4 15.2 MB
  • 3. Python Crash Course (Optional)/10. Membership Operators.mp4 14.4 MB
  • 3. Python Crash Course (Optional)/30. Scope.mp4 13.8 MB
  • 3. Python Crash Course (Optional)/19. Part 2 - Control Flow.mp4 12.0 MB
  • 3. Python Crash Course (Optional)/28. Part 3 - Functions.mp4 12.0 MB
  • 10. MNIST Image Recognition/1. Overview.mp4 11.3 MB
  • 4. NumPy Crash Course (Optional)/1. Overview.mp4 11.1 MB
  • 2. Installation/1. Overview.mp4 11.0 MB
  • 9. Multiclass Classification/1. Overview.mp4 10.9 MB
  • 5. Computer Vision Finding Lane-Lines/14. Part 5 - Conclusion.mp4 10.7 MB
  • 12. Traffic Sign Classification/10. Section 12 - Outro.mp4 10.4 MB
  • 6. Intro to Neural Networks/21. Part 6 - Conclusion.mp4 10.2 MB
  • 11. Convolutional Neural Networks/1. Overview.mp4 10.1 MB
  • 5. Computer Vision Finding Lane-Lines/1. Overview.mp4 9.4 MB
  • 3. Python Crash Course (Optional)/33. Part 3 - Outro.mp4 9.3 MB
  • 13. Polynomial Regression/1. Overview.mp4 7.9 MB
  • 7. Keras/1. Overview.mp4 7.1 MB
  • 8. Deep Neural Networks/9. Section 8 - Conclusion.mp4 6.3 MB
  • 10. MNIST Image Recognition/10. Section 10 - Outro.mp4 6.2 MB
  • 2. Installation/5. Outro.mp4 5.8 MB
  • 9. Multiclass Classification/6. Section 9 - Outro.mp4 5.7 MB
  • 13. Polynomial Regression/4. Section 13 - Conclusion.mp4 5.4 MB
  • 7. Keras/7. Part 7 - Outro.mp4 5.1 MB
  • 11. Convolutional Neural Networks/11. Section 11 - Conclusion.mp4 5.0 MB
  • 3. Python Crash Course (Optional)/27. Part 2 - Outro.mp4 4.7 MB
  • 3. Python Crash Course (Optional)/18. Part 1 - Outro.mp4 3.8 MB
  • 4. NumPy Crash Course (Optional)/10. Part 4 - Outro.mp4 2.6 MB
  • 5. Computer Vision Finding Lane-Lines/2.1 test_image.jpg.jpg 776.0 kB
  • 12. Traffic Sign Classification/3. Preprocessing Images.vtt 44.1 kB
  • 9. Multiclass Classification/4. Implementation.vtt 36.0 kB
  • 10. MNIST Image Recognition/5. Implementation Part 1.vtt 35.3 kB
  • 14. Behavioural Cloning/11. Generator - Augmentation Techniques.vtt 34.1 kB
  • 11. Convolutional Neural Networks/8. Code Implementation I.vtt 33.1 kB
  • 8. Deep Neural Networks/7. Code Implementation.vtt 30.2 kB
  • 11. Convolutional Neural Networks/9. Code Implementation II.vtt 27.0 kB
  • 14. Behavioural Cloning/7. Defining Nvidia Model.vtt 27.0 kB
  • 7. Keras/4. Keras Models.vtt 24.7 kB
  • 12. Traffic Sign Classification/8. Fit Generator.vtt 23.5 kB
  • 10. MNIST Image Recognition/6. Implementation Part 2.vtt 21.9 kB
  • 12. Traffic Sign Classification/4. leNet Implementation.vtt 20.8 kB
  • 7. Keras/5. Keras - Predictions.vtt 20.8 kB
  • 11. Convolutional Neural Networks/3. Convolutional Layer.vtt 20.5 kB
  • 14. Behavioural Cloning/2. Collecting Data.vtt 19.2 kB
  • 14. Behavioural Cloning/13. Fit Generator.vtt 19.0 kB
  • 14. Behavioural Cloning/6. Preprocessing Images.vtt 18.2 kB
  • 14. Behavioural Cloning/3. Downloading Data.vtt 16.9 kB
  • 14. Behavioural Cloning/9. Flask & Socket.io.vtt 16.6 kB
  • 11. Convolutional Neural Networks/5. Pooling.vtt 16.4 kB
  • 12. Traffic Sign Classification/5. Fine-tuning Model.vtt 15.7 kB
  • 13. Polynomial Regression/2. Implementation.vtt 15.5 kB
  • 5. Computer Vision Finding Lane-Lines/10. Optimizing.vtt 15.1 kB
  • 9. Multiclass Classification/2. Softmax.vtt 14.7 kB
  • 14. Behavioural Cloning/10. Self Driving Car - Test 1.vtt 14.6 kB
  • 10. MNIST Image Recognition/3. Train & Test.vtt 14.6 kB
  • 5. Computer Vision Finding Lane-Lines/9. Hough Transform II.vtt 14.6 kB
  • 6. Intro to Neural Networks/12. Sigmoid Implementation (Code).vtt 13.5 kB
  • 4. NumPy Crash Course (Optional)/9. Stacking.vtt 13.2 kB
  • 6. Intro to Neural Networks/8. Project - Initial Stages.vtt 13.2 kB
  • 4. NumPy Crash Course (Optional)/2. Vector Addition - Arrays vs Lists.vtt 13.0 kB
  • 5. Computer Vision Finding Lane-Lines/8. Hough Transform.vtt 12.3 kB
  • 4. NumPy Crash Course (Optional)/3. Multidimensional Arrays.vtt 12.1 kB
  • 8. Deep Neural Networks/3. Architecture.vtt 11.9 kB
  • 14. Behavioural Cloning/4. Balancing Data.vtt 11.7 kB
  • 10. MNIST Image Recognition/8. Implementation Part 3.vtt 11.3 kB
  • 14. Behavioural Cloning/12. Batch Generator.vtt 11.1 kB
  • 14. Behavioural Cloning/5. Training & Validation Split.vtt 10.8 kB
  • 9. Multiclass Classification/3. Cross Entropy.vtt 10.5 kB
  • 5. Computer Vision Finding Lane-Lines/7. Binary Numbers & Bitwise_and.vtt 10.5 kB
  • 14. Behavioural Cloning/14. Final Source Code.html 10.4 kB
  • 15. Final Codes & Outputs/11. Code 10 - Behavioural Cloning.html 10.4 kB
  • 8. Deep Neural Networks/4. Feedforward Process.vtt 10.1 kB
  • 6. Intro to Neural Networks/18. Gradient Descent (Code).vtt 9.8 kB
  • 11. Convolutional Neural Networks/4. Convolutions II.vtt 8.8 kB
  • 6. Intro to Neural Networks/4. Classification.vtt 8.8 kB
  • 6. Intro to Neural Networks/15. Cross Entropy (Code).vtt 8.7 kB
  • 4. NumPy Crash Course (Optional)/7. Manipulating Array Shapes.vtt 8.6 kB
  • 6. Intro to Neural Networks/5. Linear Model.vtt 8.0 kB
  • 3. Python Crash Course (Optional)/9. Slicing.vtt 8.0 kB
  • 5. Computer Vision Finding Lane-Lines/6. Region of Interest.vtt 8.0 kB
  • 6. Intro to Neural Networks/11. Sigmoid.vtt 7.6 kB
  • 10. MNIST Image Recognition/4. Hyperparameters.vtt 7.5 kB
  • 4. NumPy Crash Course (Optional)/6. Multidimensional Slicing.vtt 7.5 kB
  • 6. Intro to Neural Networks/14. Cross Entropy.vtt 7.5 kB
  • 12. Traffic Sign Classification/9. Final Source Code.html 7.5 kB
  • 15. Final Codes & Outputs/9. Code 8 - Traffic Sign Classification.html 7.5 kB
  • 5. Computer Vision Finding Lane-Lines/12. Finding Lanes on Video.vtt 7.3 kB
  • 11. Convolutional Neural Networks/2. Convolutions & MNIST.vtt 7.3 kB
  • 3. Python Crash Course (Optional)/13. Common Functions & Methods.vtt 7.2 kB
  • 11. Convolutional Neural Networks/6. Fully Connected Layer.vtt 7.2 kB
  • 3. Python Crash Course (Optional)/23. For Loops.vtt 6.8 kB
  • 8. Deep Neural Networks/6. Backpropagation.vtt 6.7 kB
  • 3. Python Crash Course (Optional)/21. elif.vtt 6.7 kB
  • 3. Python Crash Course (Optional)/32. Lambda & Higher Order Functions.vtt 6.7 kB
  • 12. Traffic Sign Classification/7. Testing.vtt 6.6 kB
  • 11. Convolutional Neural Networks/7. Starter Code.html 6.5 kB
  • 2. Installation/3. Jupyter Notebooks.vtt 6.3 kB
  • 8. Deep Neural Networks/2. Non-Linear Boundaries.vtt 6.0 kB
  • 10. MNIST Image Recognition/2. MNIST Dataset.vtt 5.8 kB
  • 3. Python Crash Course (Optional)/5. String Data Types.vtt 5.7 kB
  • 3. Python Crash Course (Optional)/3. Variables.vtt 5.7 kB
  • 8. Deep Neural Networks/5. Error Function.vtt 5.6 kB
  • 3. Python Crash Course (Optional)/8. Lists.vtt 5.6 kB
  • 3. Python Crash Course (Optional)/29. Functions.vtt 5.5 kB
  • 15. Final Codes & Outputs/8. Code 7 - Convolutional Neural Networks.html 5.2 kB
  • 11. Convolutional Neural Networks/10. Final Source Code.html 5.2 kB
  • 6. Intro to Neural Networks/10. Error Function.vtt 5.0 kB
  • 3. Python Crash Course (Optional)/2. Arithmetic Operations.vtt 5.0 kB
  • 5. Computer Vision Finding Lane-Lines/2. Loading Images.vtt 5.0 kB
  • 6. Intro to Neural Networks/3. Linear Regression.vtt 4.9 kB
  • 3. Python Crash Course (Optional)/16. Dictionaries.vtt 4.9 kB
  • 3. Python Crash Course (Optional)/22. Complex Comparisons.vtt 4.9 kB
  • 5. Computer Vision Finding Lane-Lines/5. Canny Edge Detection.vtt 4.9 kB
  • 6. Intro to Neural Networks/6. Perceptrons.vtt 4.8 kB
  • 5. Computer Vision Finding Lane-Lines/3. Grayscale.vtt 4.8 kB
  • 3. Python Crash Course (Optional)/6. Booleans.vtt 4.5 kB
  • 3. Python Crash Course (Optional)/20. If, else.vtt 4.5 kB
  • 4. NumPy Crash Course (Optional)/8. Matrix Multiplication.vtt 4.3 kB
  • 3. Python Crash Course (Optional)/4. Numeric Data Types.vtt 4.1 kB
  • 3. Python Crash Course (Optional)/11. Mutability.vtt 4.1 kB
  • 4. NumPy Crash Course (Optional)/4. One Dimensional Slicing.vtt 4.0 kB
  • 15. Final Codes & Outputs/7. Code 6 - MNIST Image Recognition.html 3.8 kB
  • 10. MNIST Image Recognition/9. Final Source Code.html 3.8 kB
  • 3. Python Crash Course (Optional)/12. Mutability II.vtt 3.7 kB
  • 4. NumPy Crash Course (Optional)/5. Reshaping.vtt 3.6 kB
  • 14. Behavioural Cloning/1. Overview.vtt 3.6 kB
  • 3. Python Crash Course (Optional)/26. Break.vtt 3.6 kB
  • 6. Intro to Neural Networks/2. Machine Learning.vtt 3.5 kB
  • 5. Computer Vision Finding Lane-Lines/4. Gaussian Blur.vtt 3.5 kB
  • 6. Intro to Neural Networks/17. Gradient Descent.vtt 3.4 kB
  • 3. Python Crash Course (Optional)/14. Tuples.vtt 3.4 kB
  • 1. Introduction/1. Introduction.vtt 3.3 kB
  • 2. Installation/4. Text Editor.vtt 3.3 kB
  • 3. Python Crash Course (Optional)/7. Methods.vtt 3.2 kB
  • 3. Python Crash Course (Optional)/25. While Loops.vtt 3.2 kB
  • 3. Python Crash Course (Optional)/24. For Loops II.vtt 3.0 kB
  • 15. Final Codes & Outputs/2. Code 1 - Computer Vision.html 3.0 kB
  • 5. Computer Vision Finding Lane-Lines/13. Source Code.html 3.0 kB
  • 2. Installation/2. Anaconda Distribution.vtt 3.0 kB
  • 3. Python Crash Course (Optional)/15. Sets.vtt 2.7 kB
  • 3. Python Crash Course (Optional)/31. Doc Strings.vtt 2.6 kB
  • 3. Python Crash Course (Optional)/10. Membership Operators.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 2.5 kB
  • 7. Keras/2. Intro to Keras.vtt 2.4 kB
  • 15. Final Codes & Outputs/6. Code 5 - Multiclass Classification.html 2.4 kB
  • 9. Multiclass Classification/5. Source Code.html 2.4 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 2.3 kB
  • 12. Traffic Sign Classification/6. Resources Needed for Testing.html 2.2 kB
  • 14. Behavioural Cloning/8. Drive.py code.html 2.1 kB
  • 15. Final Codes & Outputs/5. Code 4 - Deep Neural Networks.html 2.0 kB
  • 15. Final Codes & Outputs/3. Code 2 - Intro to Neural Networks.html 2.0 kB
  • 6. Intro to Neural Networks/20. Source Code.html 2.0 kB
  • 6. Intro to Neural Networks/1. Overview.vtt 2.0 kB
  • 8. Deep Neural Networks/8. Source Code.html 2.0 kB
  • 3. Python Crash Course (Optional)/30. Scope.vtt 1.8 kB
  • 12. Traffic Sign Classification/3.1 Traffic Signs Starter Project.ipynb.zip/Traffic Signs Starter Project.ipynb 1.6 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 1.4 kB
  • 14. Behavioural Cloning/15. Outro.vtt 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
  • 6. Intro to Neural Networks/8.1 Initial Stages.ipynb/Initial Stages.ipynb 1.1 kB
  • 6. Intro to Neural Networks/9.1 Initial Stages.ipynb/Initial Stages.ipynb 1.1 kB
  • 2. Installation/1. Overview.vtt 1.1 kB
  • 6. Intro to Neural Networks/13. Source code.html 1.0 kB
  • 3. Python Crash Course (Optional)/19. Part 2 - Control Flow.vtt 1.0 kB
  • 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
  • 12. Traffic Sign Classification/10. Section 12 - Outro.vtt 906 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/14. 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
  • 13. Polynomial Regression/1. Overview.vtt 639 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
  • 13. Polynomial Regression/4. Section 13 - Conclusion.vtt 499 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
  • 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/11. Resource for upcoming video.html 101 Bytes
  • 15. Final Codes & Outputs/12. Simulation Output Results - Training Track.vtt 8 Bytes
  • 15. Final Codes & Outputs/13. Simulation Output Results - Test Track.vtt 8 Bytes

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