[FreeCourseSite.com] Udemy - The Complete Self-Driving Car Course – Applied Deep Learning

磁力链接/BT种子名称

[FreeCourseSite.com] Udemy - The Complete Self-Driving Car Course – Applied Deep Learning

磁力链接/BT种子简介

种子哈希：03b1efa171f7795237fee36b2bc4bb2e168a5e4a
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收录时间：2021-03-13
最近下载：2025-06-19

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文件列表

  • 14. Behavioural Cloning/11. Generator - Augmentation Techniques.mp4 399.4 MB
  • 12. Classifying Road Symbols/3. Preprocessing Images.mp4 346.5 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/11. 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. Classifying Road Symbols/8. Fit Generator.mp4 167.6 MB
  • 10. MNIST Image Recognition/6. Implementation Part 2.mp4 163.5 MB
  • 7. Keras/5. Keras - Predictions.mp4 151.5 MB
  • 9. Multiclass Classification/2. Softmax.mp4 148.6 MB
  • 5. Computer Vision Finding Lane Lines/9. Line Detection - Hough Transform.mp4 139.1 MB
  • 10. MNIST Image Recognition/3. Train & Test.mp4 138.5 MB
  • 14. Behavioural Cloning/3. Downloading Data.mp4 137.0 MB
  • 12. Classifying Road Symbols/4. leNet Implementation.mp4 135.7 MB
  • 13. Polynomial Regression/2. Implementation.mp4 135.1 MB
  • 8. Deep Neural Networks/3. Architecture.mp4 132.2 MB
  • 12. Classifying Road Symbols/5. Fine-tuning Model.mp4 122.7 MB
  • 5. Computer Vision Finding Lane Lines/10. Hough Transform II.mp4 120.3 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/8. Binary Numbers & Bitwise_and.mp4 96.3 MB
  • 6. The Perceptron/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
  • 4. NumPy Crash Course (Optional)/2. Vector Addition - Arrays vs Lists.mp4 91.0 MB
  • 6. The Perceptron/5. Linear Model.mp4 90.6 MB
  • 5. Computer Vision Finding Lane Lines/13. Finding Lanes on Video.mp4 86.8 MB
  • 4. NumPy Crash Course (Optional)/9. Stacking.mp4 86.3 MB
  • 6. The Perceptron/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
  • 11. Convolutional Neural Networks/4. Convolutions II.mp4 83.7 MB
  • 6. The Perceptron/8. Project - Initial Stages.mp4 82.1 MB
  • 11. Convolutional Neural Networks/6. Fully Connected Layer.mp4 81.7 MB
  • 6. The Perceptron/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. Classifying Road Symbols/7. Testing.mp4 66.2 MB
  • 6. The Perceptron/14. Cross Entropy.mp4 65.8 MB
  • 6. The Perceptron/11. Sigmoid.mp4 64.7 MB
  • 6. The Perceptron/15. Cross Entropy (Code).mp4 64.2 MB
  • 3. Python Crash Course (Optional)/10. Slicing.mp4 58.3 MB
  • 8. Deep Neural Networks/5. Error Function.mp4 56.7 MB
  • 6. The Perceptron/6. Perceptrons.mp4 53.1 MB
  • 14. Behavioural Cloning/1. Overview.mp4 52.6 MB
  • 5. Computer Vision Finding Lane Lines/7. Region of Interest.mp4 51.7 MB
  • 4. NumPy Crash Course (Optional)/6. Multidimensional Slicing.mp4 51.6 MB
  • 3. Python Crash Course (Optional)/22. elif.mp4 51.4 MB
  • 4. NumPy Crash Course (Optional)/7. Manipulating Array Shapes.mp4 50.1 MB
  • 5. Computer Vision Finding Lane Lines/4. Grayscale Conversion.mp4 49.5 MB
  • 3. Python Crash Course (Optional)/14. Common Functions & Methods.mp4 49.1 MB
  • 6. The Perceptron/3. Supervised Learning - Friendly Example.mp4 48.9 MB
  • 6. The Perceptron/17. Gradient Descent.mp4 47.4 MB
  • 5. Computer Vision Finding Lane Lines/6. Simple Edge Detection.mp4 44.7 MB
  • 3. Python Crash Course (Optional)/6. String Data Types.mp4 44.0 MB
  • 6. The Perceptron/10. Error Function.mp4 43.7 MB
  • 5. Computer Vision Finding Lane Lines/3. Loading Image.mp4 42.2 MB
  • 3. Python Crash Course (Optional)/24. For Loops.mp4 40.4 MB
  • 6. The Perceptron/2. Machine Learning.mp4 38.8 MB
  • 3. Python Crash Course (Optional)/9. Lists.mp4 37.6 MB
  • 3. Python Crash Course (Optional)/17. Dictionaries.mp4 37.1 MB
  • 4. NumPy Crash Course (Optional)/8. Matrix Multiplication.mp4 35.9 MB
  • 3. Python Crash Course (Optional)/12. Mutability.mp4 34.6 MB
  • 5. Computer Vision Finding Lane Lines/13.1 test2.mp4.mp4 33.5 MB
  • 3. Python Crash Course (Optional)/13. Mutability II.mp4 33.2 MB
  • 3. Python Crash Course (Optional)/30. Functions.mp4 33.2 MB
  • 5. Computer Vision Finding Lane Lines/5. Smoothening Image.mp4 32.1 MB
  • 3. Python Crash Course (Optional)/23. Complex Comparisons.mp4 31.0 MB
  • 2. Installation/4. Text Editor.mp4 30.5 MB
  • 3. Python Crash Course (Optional)/33. Lambda & Higher Order Functions.mp4 29.8 MB
  • 5. Computer Vision Finding Lane Lines/12.1 test2.mp4.zip.zip 29.3 MB
  • 6. The Perceptron/1. Overview.mp4 29.1 MB
  • 3. Python Crash Course (Optional)/4. Variables.mp4 29.0 MB
  • 3. Python Crash Course (Optional)/21. If, else.mp4 28.5 MB
  • 1. Introduction/1. Why This Course.mp4 27.1 MB
  • 3. Python Crash Course (Optional)/3. Arithmetic Operations.mp4 26.7 MB
  • 2. Installation/3. Anaconda Distribution - Windows.mp4 26.5 MB
  • 6. The Perceptron/7. Weights.mp4 26.5 MB
  • 2. Installation/2. Anaconda Distribution - Mac.mp4 26.5 MB
  • 4. NumPy Crash Course (Optional)/4. One Dimensional Slicing.mp4 26.2 MB
  • 3. Python Crash Course (Optional)/7. Booleans.mp4 25.4 MB
  • 3. Python Crash Course (Optional)/5. Numeric Data Types.mp4 24.6 MB
  • 4. NumPy Crash Course (Optional)/5. Reshaping.mp4 24.5 MB
  • 3. Python Crash Course (Optional)/15. Tuples.mp4 24.2 MB
  • 3. Python Crash Course (Optional)/8. Methods.mp4 21.7 MB
  • 3. Python Crash Course (Optional)/26. While Loops.mp4 21.2 MB
  • 3. Python Crash Course (Optional)/18. Compound Data Structures.mp4 21.2 MB
  • 7. Keras/2. Intro to Keras.mp4 20.9 MB
  • 3. Python Crash Course (Optional)/27. Break.mp4 20.7 MB
  • 3. Python Crash Course (Optional)/16. Sets.mp4 20.6 MB
  • 3. Python Crash Course (Optional)/32. Doc Strings.mp4 20.5 MB
  • 14. Behavioural Cloning/15. Outro.mp4 20.5 MB
  • 6. The Perceptron/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)/25. For Loops II.mp4 15.8 MB
  • 12. Classifying Road Symbols/1. Overview.mp4 15.2 MB
  • 3. Python Crash Course (Optional)/11. Membership Operators.mp4 14.5 MB
  • 3. Python Crash Course (Optional)/31. Scope.mp4 13.8 MB
  • 3. Python Crash Course (Optional)/20. Part 2 - Control Flow.mp4 12.0 MB
  • 3. Python Crash Course (Optional)/29. Part 3 - Functions.mp4 12.0 MB
  • 10. MNIST Image Recognition/1. Overview.mp4 11.4 MB
  • 4. NumPy Crash Course (Optional)/1. Overview.mp4 11.1 MB
  • 9. Multiclass Classification/1. Overview.mp4 10.9 MB
  • 5. Computer Vision Finding Lane Lines/15. Part 5 - Conclusion.mp4 10.7 MB
  • 3. Python Crash Course (Optional)/2. Jupyter Notebooks.mp4 10.5 MB
  • 12. Classifying Road Symbols/10. Section 12 - Outro.mp4 10.4 MB
  • 6. The Perceptron/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)/34. 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/1. Overview.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)/28. Part 2 - Outro.mp4 4.7 MB
  • 3. Python Crash Course (Optional)/19. 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 Image.zip.zip 777.3 kB
  • 5. Computer Vision Finding Lane Lines/3.1 Image.zip.zip 777.3 kB
  • 12. Classifying Road Symbols/3. Preprocessing Images.srt 50.4 kB
  • 9. Multiclass Classification/4. Implementation.srt 41.2 kB
  • 10. MNIST Image Recognition/5. Implementation Part 1.srt 40.3 kB
  • 14. Behavioural Cloning/11. Generator - Augmentation Techniques.srt 38.5 kB
  • 11. Convolutional Neural Networks/8. Code Implementation I.srt 37.8 kB
  • 8. Deep Neural Networks/7. Code Implementation.srt 34.4 kB
  • 11. Convolutional Neural Networks/9. Code Implementation II.srt 30.7 kB
  • 14. Behavioural Cloning/7. Defining Nvidia Model.srt 30.2 kB
  • 7. Keras/4. Keras Models.srt 28.1 kB
  • 12. Classifying Road Symbols/8. Fit Generator.srt 26.9 kB
  • 10. MNIST Image Recognition/6. Implementation Part 2.srt 24.9 kB
  • 7. Keras/5. Keras - Predictions.srt 23.7 kB
  • 12. Classifying Road Symbols/4. leNet Implementation.srt 23.7 kB
  • 11. Convolutional Neural Networks/3. Convolutional Layer.srt 23.1 kB
  • 14. Behavioural Cloning/2. Collecting Data.srt 22.0 kB
  • 14. Behavioural Cloning/13. Fit Generator.srt 21.7 kB
  • 14. Behavioural Cloning/6. Preprocessing Images.srt 20.5 kB
  • 14. Behavioural Cloning/3. Downloading Data.srt 19.2 kB
  • 11. Convolutional Neural Networks/5. Pooling.srt 18.5 kB
  • 14. Behavioural Cloning/9. Flask & Socket.io.srt 18.3 kB
  • 12. Classifying Road Symbols/5. Fine-tuning Model.srt 17.8 kB
  • 13. Polynomial Regression/2. Implementation.srt 17.5 kB
  • 5. Computer Vision Finding Lane Lines/11. Optimizing.srt 17.3 kB
  • 9. Multiclass Classification/2. Softmax.srt 16.7 kB
  • 5. Computer Vision Finding Lane Lines/10. Hough Transform II.srt 16.6 kB
  • 10. MNIST Image Recognition/3. Train & Test.srt 16.6 kB
  • 14. Behavioural Cloning/10. Self Driving Car - Test 1.srt 16.6 kB
  • 6. The Perceptron/12. Sigmoid Implementation (Code).srt 15.4 kB
  • 4. NumPy Crash Course (Optional)/9. Stacking.srt 15.0 kB
  • 6. The Perceptron/8. Project - Initial Stages.srt 15.0 kB
  • 4. NumPy Crash Course (Optional)/2. Vector Addition - Arrays vs Lists.srt 15.0 kB
  • 5. Computer Vision Finding Lane Lines/9. Line Detection - Hough Transform.srt 14.1 kB
  • 4. NumPy Crash Course (Optional)/3. Multidimensional Arrays.srt 13.8 kB
  • 8. Deep Neural Networks/3. Architecture.srt 13.5 kB
  • 14. Behavioural Cloning/4. Balancing Data.srt 13.2 kB
  • 10. MNIST Image Recognition/8. Implementation Part 3.srt 12.9 kB
  • 14. Behavioural Cloning/12. Batch Generator.srt 12.5 kB
  • 14. Behavioural Cloning/5. Training & Validation Split.srt 12.3 kB
  • 5. Computer Vision Finding Lane Lines/8. Binary Numbers & Bitwise_and.srt 12.0 kB
  • 9. Multiclass Classification/3. Cross Entropy.srt 12.0 kB
  • 8. Deep Neural Networks/4. Feedforward Process.srt 11.4 kB
  • 6. The Perceptron/18. Gradient Descent (Code).srt 11.1 kB
  • 14. Behavioural Cloning/14. Final Source Code.html 10.4 kB
  • 6. The Perceptron/15. Cross Entropy (Code).srt 10.0 kB
  • 11. Convolutional Neural Networks/4. Convolutions II.srt 10.0 kB
  • 6. The Perceptron/4. Classification.srt 10.0 kB
  • 4. NumPy Crash Course (Optional)/7. Manipulating Array Shapes.srt 9.9 kB
  • 3. Python Crash Course (Optional)/10. Slicing.srt 9.2 kB
  • 6. The Perceptron/5. Linear Model.srt 9.1 kB
  • 5. Computer Vision Finding Lane Lines/7. Region of Interest.srt 9.0 kB
  • 6. The Perceptron/11. Sigmoid.srt 8.6 kB
  • 10. MNIST Image Recognition/4. Hyperparameters.srt 8.5 kB
  • 4. NumPy Crash Course (Optional)/6. Multidimensional Slicing.srt 8.5 kB
  • 6. The Perceptron/14. Cross Entropy.srt 8.5 kB
  • 3. Python Crash Course (Optional)/14. Common Functions & Methods.srt 8.4 kB
  • 5. Computer Vision Finding Lane Lines/13. Finding Lanes on Video.srt 8.3 kB
  • 11. Convolutional Neural Networks/2. Convolutions & MNIST.srt 8.1 kB
  • 11. Convolutional Neural Networks/6. Fully Connected Layer.srt 8.1 kB
  • 8. Deep Neural Networks/6. Backpropagation.srt 7.7 kB
  • 3. Python Crash Course (Optional)/24. For Loops.srt 7.7 kB
  • 3. Python Crash Course (Optional)/22. elif.srt 7.7 kB
  • 12. Classifying Road Symbols/7. Testing.srt 7.6 kB
  • 3. Python Crash Course (Optional)/33. Lambda & Higher Order Functions.srt 7.6 kB
  • 12. Classifying Road Symbols/9. Final Source Code.html 7.5 kB
  • 8. Deep Neural Networks/2. Non-Linear Boundaries.srt 6.8 kB
  • 10. MNIST Image Recognition/2. MNIST Dataset.srt 6.6 kB
  • 3. Python Crash Course (Optional)/6. String Data Types.srt 6.5 kB
  • 11. Convolutional Neural Networks/7. Starter Code.html 6.5 kB
  • 3. Python Crash Course (Optional)/9. Lists.srt 6.5 kB
  • 8. Deep Neural Networks/5. Error Function.srt 6.3 kB
  • 3. Python Crash Course (Optional)/4. Variables.srt 6.3 kB
  • 5. Computer Vision Finding Lane Lines/3. Loading Image.srt 6.2 kB
  • 3. Python Crash Course (Optional)/30. Functions.srt 6.2 kB
  • 6. The Perceptron/10. Error Function.srt 5.7 kB
  • 3. Python Crash Course (Optional)/17. Dictionaries.srt 5.6 kB
  • 3. Python Crash Course (Optional)/23. Complex Comparisons.srt 5.6 kB
  • 3. Python Crash Course (Optional)/3. Arithmetic Operations.srt 5.5 kB
  • 5. Computer Vision Finding Lane Lines/6. Simple Edge Detection.srt 5.5 kB
  • 6. The Perceptron/3. Supervised Learning - Friendly Example.srt 5.5 kB
  • 5. Computer Vision Finding Lane Lines/4. Grayscale Conversion.srt 5.5 kB
  • 6. The Perceptron/6. Perceptrons.srt 5.4 kB
  • 3. Python Crash Course (Optional)/7. Booleans.srt 5.3 kB
  • 11. Convolutional Neural Networks/10. Final Source Code.html 5.2 kB
  • 3. Python Crash Course (Optional)/21. If, else.srt 5.1 kB
  • 4. NumPy Crash Course (Optional)/8. Matrix Multiplication.srt 4.8 kB
  • 3. Python Crash Course (Optional)/12. Mutability.srt 4.8 kB
  • 3. Python Crash Course (Optional)/5. Numeric Data Types.srt 4.7 kB
  • 4. NumPy Crash Course (Optional)/4. One Dimensional Slicing.srt 4.2 kB
  • 3. Python Crash Course (Optional)/13. Mutability II.srt 4.2 kB
  • 3. Python Crash Course (Optional)/27. Break.srt 4.1 kB
  • 4. NumPy Crash Course (Optional)/5. Reshaping.srt 4.1 kB
  • 14. Behavioural Cloning/1. Overview.srt 4.1 kB
  • 6. The Perceptron/2. Machine Learning.srt 4.0 kB
  • 5. Computer Vision Finding Lane Lines/5. Smoothening Image.srt 4.0 kB
  • 3. Python Crash Course (Optional)/15. Tuples.srt 3.9 kB
  • 6. The Perceptron/17. Gradient Descent.srt 3.8 kB
  • 10. MNIST Image Recognition/9. Final Source Code.html 3.8 kB
  • 3. Python Crash Course (Optional)/8. Methods.srt 3.7 kB
  • 2. Installation/4. Text Editor.srt 3.7 kB
  • 3. Python Crash Course (Optional)/26. While Loops.srt 3.7 kB
  • 2. Installation/3. Anaconda Distribution - Windows.srt 3.6 kB
  • 1. Introduction/1. Why This Course.srt 3.6 kB
  • 3. Python Crash Course (Optional)/25. For Loops II.srt 3.4 kB
  • 2. Installation/2. Anaconda Distribution - Mac.srt 3.4 kB
  • 3. Python Crash Course (Optional)/16. Sets.srt 3.1 kB
  • 3. Python Crash Course (Optional)/11. Membership Operators.srt 3.0 kB
  • 5. Computer Vision Finding Lane Lines/14. Source Code.html 3.0 kB
  • 3. Python Crash Course (Optional)/32. Doc Strings.srt 3.0 kB
  • 6. The Perceptron/19. Recap.srt 2.9 kB
  • 3. Python Crash Course (Optional)/18. Compound Data Structures.srt 2.8 kB
  • 7. Keras/2. Intro to Keras.srt 2.8 kB
  • 6. The Perceptron/7. Weights.srt 2.6 kB
  • 3. Python Crash Course (Optional)/2. Jupyter Notebooks.srt 2.4 kB
  • 9. Multiclass Classification/5. Source Code.html 2.4 kB
  • 7. Keras/6. Source Code.html 2.3 kB
  • 6. The Perceptron/1. Overview.srt 2.2 kB
  • 12. Classifying Road Symbols/6. Resources Needed for Testing.html 2.2 kB
  • 14. Behavioural Cloning/8. Drive.py code.html 2.1 kB
  • 3. Python Crash Course (Optional)/31. Scope.srt 2.0 kB
  • 6. The Perceptron/20. Source Code.html 2.0 kB
  • 8. Deep Neural Networks/8. Source Code.html 2.0 kB
  • 12. Classifying Road Symbols/3.1 Traffic Signs Starter Project.ipynb.zip.zip 1.6 kB
  • 12. Classifying Road Symbols/2. Traffic Signs Starter Code.html 1.5 kB
  • 14. Behavioural Cloning/15. Outro.srt 1.5 kB
  • 3. Python Crash Course (Optional)/1. Python Crash Course Part 1 - Data Types.srt 1.5 kB
  • 12. Classifying Road Symbols/1. Overview.srt 1.5 kB
  • 6. The Perceptron/8.1 Initial Stages.ipynb.zip.zip 1.3 kB
  • 6. The Perceptron/9.1 Initial Stages.ipynb.zip.zip 1.3 kB
  • 3. Python Crash Course (Optional)/29. Part 3 - Functions.srt 1.2 kB
  • 6. The Perceptron/16. Source Code.html 1.2 kB
  • 3. Python Crash Course (Optional)/20. Part 2 - Control Flow.srt 1.1 kB
  • 8. Deep Neural Networks/1. Overview.srt 1.1 kB
  • 10. MNIST Image Recognition/1. Overview.srt 1.1 kB
  • 11. Convolutional Neural Networks/1. Overview.srt 1.0 kB
  • 4. NumPy Crash Course (Optional)/1. Overview.srt 1.0 kB
  • 12. Classifying Road Symbols/10. Section 12 - Outro.srt 1.0 kB
  • 6. The Perceptron/13. Source code.html 1.0 kB
  • 3. Python Crash Course (Optional)/34. Part 3 - Outro.srt 933 Bytes
  • 5. Computer Vision Finding Lane Lines/15. Part 5 - Conclusion.srt 897 Bytes
  • 9. Multiclass Classification/1. Overview.srt 884 Bytes
  • 5. Computer Vision Finding Lane Lines/1. Overview.srt 867 Bytes
  • 6. The Perceptron/21. Part 6 - Conclusion.srt 844 Bytes
  • 13. Polynomial Regression/3. Final Source Code.html 806 Bytes
  • 2. Installation/5. Outro.srt 798 Bytes
  • 7. Keras/1. Overview.srt 749 Bytes
  • 13. Polynomial Regression/1. Overview.srt 719 Bytes
  • 2. Installation/1. Overview.srt 693 Bytes
  • 10. MNIST Image Recognition/10. Section 10 - Outro.srt 579 Bytes
  • 6. The Perceptron/9. Sample Code for Initial Stages.html 575 Bytes
  • 8. Deep Neural Networks/9. Section 8 - Conclusion.srt 573 Bytes
  • 13. Polynomial Regression/4. Section 13 - Conclusion.srt 555 Bytes
  • 9. Multiclass Classification/6. Section 9 - Outro.srt 499 Bytes
  • 7. Keras/3. Starter Code.html 496 Bytes
  • 7. Keras/7. Part 7 - Outro.srt 493 Bytes
  • 3. Python Crash Course (Optional)/28. Part 2 - Outro.srt 488 Bytes
  • 11. Convolutional Neural Networks/11. Section 11 - Conclusion.srt 474 Bytes
  • 3. Python Crash Course (Optional)/19. Part 1 - Outro.srt 403 Bytes
  • 4. NumPy Crash Course (Optional)/10. Part 4 - Outro.srt 282 Bytes
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