[UdemyCourseDownloader] The Complete Self-Driving Car Course - Applied Deep Learning

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  • 14. Behavioural Cloning/11. Generator - Augmentation Techniques.mp4 380.89 MB
    12. Classifying Road Symbols/3. Preprocessing Images.mp4 330.4 MB
    14. Behavioural Cloning/2. Collecting Data.mp4 282.41 MB
    11. Convolutional Neural Networks/8. Code Implementation I.mp4 254.53 MB
    14. Behavioural Cloning/13. Fit Generator.mp4 248.41 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 213.41 MB
    8. Deep Neural Networks/7. Code Implementation.mp4 204.25 MB
    14. Behavioural Cloning/7. Defining Nvidia Model.mp4 198.55 MB
    10. MNIST Image Recognition/5. Implementation Part 1.mp4 194.02 MB
    7. Keras/4. Keras Models.mp4 175.26 MB
    14. Behavioural Cloning/10. Self Driving Car - Test 1.mp4 165.97 MB
    5. Computer Vision Finding Lane Lines/11. Optimizing.mp4 164.52 MB
    11. Convolutional Neural Networks/5. Pooling.mp4 161.92 MB
    14. Behavioural Cloning/6. Preprocessing Images.mp4 161.75 MB
    12. Classifying Road Symbols/8. Fit Generator.mp4 159.84 MB
    10. MNIST Image Recognition/6. Implementation Part 2.mp4 155.9 MB
    7. Keras/5. Keras - Predictions.mp4 144.46 MB
    9. Multiclass Classification/2. Softmax.mp4 141.67 MB
    5. Computer Vision Finding Lane Lines/9. Line Detection - Hough Transform.mp4 132.64 MB
    10. MNIST Image Recognition/3. Train & Test.mp4 132.04 MB
    14. Behavioural Cloning/3. Downloading Data.mp4 130.62 MB
    12. Classifying Road Symbols/4. leNet Implementation.mp4 129.39 MB
    13. Polynomial Regression/2. Implementation.mp4 128.86 MB
    8. Deep Neural Networks/3. Architecture.mp4 126.03 MB
    12. Classifying Road Symbols/5. Fine-tuning Model.mp4 117.04 MB
    5. Computer Vision Finding Lane Lines/10. Hough Transform II.mp4 114.7 MB
    14. Behavioural Cloning/9. Flask & Socket.io.mp4 99.77 MB
    4. NumPy Crash Course (Optional)/3. Multidimensional Arrays.mp4 96.82 MB
    14. Behavioural Cloning/12. Batch Generator.mp4 95.11 MB
    5. Computer Vision Finding Lane Lines/8. Binary Numbers & Bitwise_and.mp4 91.8 MB
    6. The Perceptron/12. Sigmoid Implementation (Code).mp4 90.73 MB
    11. Convolutional Neural Networks/2. Convolutions & MNIST.mp4 89.98 MB
    8. Deep Neural Networks/4. Feedforward Process.mp4 88.9 MB
    4. NumPy Crash Course (Optional)/2. Vector Addition - Arrays vs Lists.mp4 86.82 MB
    6. The Perceptron/5. Linear Model.mp4 86.36 MB
    5. Computer Vision Finding Lane Lines/13. Finding Lanes on Video.mp4 82.8 MB
    4. NumPy Crash Course (Optional)/9. Stacking.mp4 82.31 MB
    6. The Perceptron/4. Classification.mp4 82.08 MB
    9. Multiclass Classification/3. Cross Entropy.mp4 81.95 MB
    10. MNIST Image Recognition/4. Hyperparameters.mp4 81.23 MB
    11. Convolutional Neural Networks/4. Convolutions II.mp4 79.79 MB
    6. The Perceptron/8. Project - Initial Stages.mp4 78.25 MB
    11. Convolutional Neural Networks/6. Fully Connected Layer.mp4 77.89 MB
    6. The Perceptron/18. Gradient Descent (Code).mp4 75.74 MB
    10. MNIST Image Recognition/8. Implementation Part 3.mp4 75.33 MB
    14. Behavioural Cloning/4. Balancing Data.mp4 74.71 MB
    8. Deep Neural Networks/2. Non-Linear Boundaries.mp4 71.12 MB
    10. MNIST Image Recognition/2. MNIST Dataset.mp4 70.96 MB
    14. Behavioural Cloning/5. Training & Validation Split.mp4 65.74 MB
    8. Deep Neural Networks/6. Backpropagation.mp4 65.4 MB
    12. Classifying Road Symbols/7. Testing.mp4 63.15 MB
    6. The Perceptron/14. Cross Entropy.mp4 62.73 MB
    6. The Perceptron/11. Sigmoid.mp4 61.73 MB
    6. The Perceptron/15. Cross Entropy (Code).mp4 61.25 MB
    3. Python Crash Course (Optional)/10. Slicing.mp4 55.56 MB
    8. Deep Neural Networks/5. Error Function.mp4 54.07 MB
    6. The Perceptron/6. Perceptrons.mp4 50.68 MB
    14. Behavioural Cloning/1. Overview.mp4 50.21 MB
    5. Computer Vision Finding Lane Lines/7. Region of Interest.mp4 49.33 MB
    4. NumPy Crash Course (Optional)/6. Multidimensional Slicing.mp4 49.16 MB
    3. Python Crash Course (Optional)/22. elif.mp4 49.04 MB
    4. NumPy Crash Course (Optional)/7. Manipulating Array Shapes.mp4 47.76 MB
    5. Computer Vision Finding Lane Lines/4. Grayscale Conversion.mp4 47.23 MB
    3. Python Crash Course (Optional)/14. Common Functions & Methods.mp4 46.79 MB
    6. The Perceptron/3. Supervised Learning - Friendly Example.mp4 46.59 MB
    6. The Perceptron/17. Gradient Descent.mp4 45.18 MB
    5. Computer Vision Finding Lane Lines/6. Simple Edge Detection.mp4 42.64 MB
    3. Python Crash Course (Optional)/6. String Data Types.mp4 41.96 MB
    6. The Perceptron/10. Error Function.mp4 41.63 MB
    5. Computer Vision Finding Lane Lines/3. Loading Image.mp4 40.23 MB
    3. Python Crash Course (Optional)/24. For Loops.mp4 38.5 MB
    6. The Perceptron/2. Machine Learning.mp4 37.03 MB
    3. Python Crash Course (Optional)/9. Lists.mp4 35.82 MB
    3. Python Crash Course (Optional)/17. Dictionaries.mp4 35.35 MB
    4. NumPy Crash Course (Optional)/8. Matrix Multiplication.mp4 34.28 MB
    3. Python Crash Course (Optional)/12. Mutability.mp4 32.97 MB
    5. Computer Vision Finding Lane Lines/13.1 test2.mp4.mp4 31.93 MB
    3. Python Crash Course (Optional)/13. Mutability II.mp4 31.64 MB
    3. Python Crash Course (Optional)/30. Functions.mp4 31.62 MB
    5. Computer Vision Finding Lane Lines/5. Smoothening Image.mp4 30.57 MB
    3. Python Crash Course (Optional)/23. Complex Comparisons.mp4 29.53 MB
    2. Installation/4. Text Editor.mp4 29.1 MB
    3. Python Crash Course (Optional)/33. Lambda & Higher Order Functions.mp4 28.4 MB
    5. Computer Vision Finding Lane Lines/12.1 test2.mp4.zip.zip 27.96 MB
    6. The Perceptron/1. Overview.mp4 27.76 MB
    3. Python Crash Course (Optional)/4. Variables.mp4 27.68 MB
    3. Python Crash Course (Optional)/21. If, else.mp4 27.17 MB
    1. Introduction/1. Why This Course.mp4 25.87 MB
    3. Python Crash Course (Optional)/3. Arithmetic Operations.mp4 25.44 MB
    2. Installation/3. Anaconda Distribution - Windows.mp4 25.31 MB
    6. The Perceptron/7. Weights.mp4 25.29 MB
    2. Installation/2. Anaconda Distribution - Mac.mp4 25.24 MB
    4. NumPy Crash Course (Optional)/4. One Dimensional Slicing.mp4 25.03 MB
    3. Python Crash Course (Optional)/7. Booleans.mp4 24.24 MB
    3. Python Crash Course (Optional)/5. Numeric Data Types.mp4 23.51 MB
    4. NumPy Crash Course (Optional)/5. Reshaping.mp4 23.41 MB
    3. Python Crash Course (Optional)/15. Tuples.mp4 23.06 MB
    3. Python Crash Course (Optional)/8. Methods.mp4 20.7 MB
    3. Python Crash Course (Optional)/26. While Loops.mp4 20.2 MB
    3. Python Crash Course (Optional)/18. Compound Data Structures.mp4 20.19 MB
    7. Keras/2. Intro to Keras.mp4 19.98 MB
    3. Python Crash Course (Optional)/27. Break.mp4 19.72 MB
    3. Python Crash Course (Optional)/16. Sets.mp4 19.64 MB
    3. Python Crash Course (Optional)/32. Doc Strings.mp4 19.59 MB
    14. Behavioural Cloning/15. Outro.mp4 19.58 MB
    6. The Perceptron/19. Recap.mp4 17.74 MB
    8. Deep Neural Networks/1. Overview.mp4 15.65 MB
    3. Python Crash Course (Optional)/1. Python Crash Course Part 1 - Data Types.mp4 15.23 MB
    3. Python Crash Course (Optional)/25. For Loops II.mp4 15.07 MB
    12. Classifying Road Symbols/1. Overview.mp4 14.49 MB
    3. Python Crash Course (Optional)/11. Membership Operators.mp4 13.79 MB
    3. Python Crash Course (Optional)/31. Scope.mp4 13.17 MB
    3. Python Crash Course (Optional)/20. Part 2 - Control Flow.mp4 11.48 MB
    3. Python Crash Course (Optional)/29. Part 3 - Functions.mp4 11.43 MB
    10. MNIST Image Recognition/1. Overview.mp4 10.83 MB
    4. NumPy Crash Course (Optional)/1. Overview.mp4 10.59 MB
    9. Multiclass Classification/1. Overview.mp4 10.4 MB
    5. Computer Vision Finding Lane Lines/15. Part 5 - Conclusion.mp4 10.23 MB
    3. Python Crash Course (Optional)/2. Jupyter Notebooks.mp4 9.98 MB
    12. Classifying Road Symbols/10. Section 12 - Outro.mp4 9.93 MB
    6. The Perceptron/21. Part 6 - Conclusion.mp4 9.69 MB
    11. Convolutional Neural Networks/1. Overview.mp4 9.63 MB
    5. Computer Vision Finding Lane Lines/1. Overview.mp4 9 MB
    3. Python Crash Course (Optional)/34. Part 3 - Outro.mp4 8.84 MB
    13. Polynomial Regression/1. Overview.mp4 7.55 MB
    7. Keras/1. Overview.mp4 6.81 MB
    8. Deep Neural Networks/9. Section 8 - Conclusion.mp4 6.02 MB
    10. MNIST Image Recognition/10. Section 10 - Outro.mp4 5.96 MB
    2. Installation/1. Overview.mp4 5.9 MB
    2. Installation/5. Outro.mp4 5.53 MB
    9. Multiclass Classification/6. Section 9 - Outro.mp4 5.4 MB
    13. Polynomial Regression/4. Section 13 - Conclusion.mp4 5.19 MB
    7. Keras/7. Part 7 - Outro.mp4 4.83 MB
    11. Convolutional Neural Networks/11. Section 11 - Conclusion.mp4 4.77 MB
    3. Python Crash Course (Optional)/28. Part 2 - Outro.mp4 4.48 MB
    3. Python Crash Course (Optional)/19. Part 1 - Outro.mp4 3.62 MB
    4. NumPy Crash Course (Optional)/10. Part 4 - Outro.mp4 2.48 MB
    5. Computer Vision Finding Lane Lines/2.1 Image.zip.zip 759.11 KB
    5. Computer Vision Finding Lane Lines/3.1 Image.zip.zip 759.11 KB
    12. Classifying Road Symbols/3. Preprocessing Images.srt 49.23 KB
    9. Multiclass Classification/4. Implementation.srt 40.19 KB
    10. MNIST Image Recognition/5. Implementation Part 1.srt 39.38 KB
    14. Behavioural Cloning/11. Generator - Augmentation Techniques.srt 37.56 KB
    11. Convolutional Neural Networks/8. Code Implementation I.srt 36.96 KB
    8. Deep Neural Networks/7. Code Implementation.srt 33.55 KB
    11. Convolutional Neural Networks/9. Code Implementation II.srt 29.98 KB
    14. Behavioural Cloning/7. Defining Nvidia Model.srt 29.47 KB
    7. Keras/4. Keras Models.srt 27.48 KB
    12. Classifying Road Symbols/8. Fit Generator.srt 26.28 KB
    10. MNIST Image Recognition/6. Implementation Part 2.srt 24.35 KB
    7. Keras/5. Keras - Predictions.srt 23.19 KB
    12. Classifying Road Symbols/4. leNet Implementation.srt 23.1 KB
    11. Convolutional Neural Networks/3. Convolutional Layer.srt 22.58 KB
    14. Behavioural Cloning/2. Collecting Data.srt 21.5 KB
    14. Behavioural Cloning/13. Fit Generator.srt 21.22 KB
    14. Behavioural Cloning/6. Preprocessing Images.srt 20.02 KB
    14. Behavioural Cloning/3. Downloading Data.srt 18.71 KB
    11. Convolutional Neural Networks/5. Pooling.srt 18.07 KB
    14. Behavioural Cloning/9. Flask & Socket.io.srt 17.84 KB
    12. Classifying Road Symbols/5. Fine-tuning Model.srt 17.38 KB
    13. Polynomial Regression/2. Implementation.srt 17.13 KB
    5. Computer Vision Finding Lane Lines/11. Optimizing.srt 16.91 KB
    9. Multiclass Classification/2. Softmax.srt 16.31 KB
    5. Computer Vision Finding Lane Lines/10. Hough Transform II.srt 16.26 KB
    10. MNIST Image Recognition/3. Train & Test.srt 16.24 KB
    14. Behavioural Cloning/10. Self Driving Car - Test 1.srt 16.17 KB
    6. The Perceptron/12. Sigmoid Implementation (Code).srt 15.01 KB
    4. NumPy Crash Course (Optional)/9. Stacking.srt 14.68 KB
    6. The Perceptron/8. Project - Initial Stages.srt 14.64 KB
    4. NumPy Crash Course (Optional)/2. Vector Addition - Arrays vs Lists.srt 14.6 KB
    5. Computer Vision Finding Lane Lines/9. Line Detection - Hough Transform.srt 13.78 KB
    4. NumPy Crash Course (Optional)/3. Multidimensional Arrays.srt 13.43 KB
    8. Deep Neural Networks/3. Architecture.srt 13.14 KB
    14. Behavioural Cloning/4. Balancing Data.srt 12.88 KB
    10. MNIST Image Recognition/8. Implementation Part 3.srt 12.56 KB
    14. Behavioural Cloning/12. Batch Generator.srt 12.19 KB
    14. Behavioural Cloning/5. Training & Validation Split.srt 11.98 KB
    5. Computer Vision Finding Lane Lines/8. Binary Numbers & Bitwise_and.srt 11.76 KB
    9. Multiclass Classification/3. Cross Entropy.srt 11.67 KB
    8. Deep Neural Networks/4. Feedforward Process.srt 11.14 KB
    6. The Perceptron/18. Gradient Descent (Code).srt 10.86 KB
    14. Behavioural Cloning/14. Final Source Code.html 10.14 KB
    6. The Perceptron/15. Cross Entropy (Code).srt 9.81 KB
    11. Convolutional Neural Networks/4. Convolutions II.srt 9.75 KB
    6. The Perceptron/4. Classification.srt 9.74 KB
    4. NumPy Crash Course (Optional)/7. Manipulating Array Shapes.srt 9.66 KB
    3. Python Crash Course (Optional)/10. Slicing.srt 9 KB
    6. The Perceptron/5. Linear Model.srt 8.85 KB
    5. Computer Vision Finding Lane Lines/7. Region of Interest.srt 8.75 KB
    6. The Perceptron/11. Sigmoid.srt 8.36 KB
    10. MNIST Image Recognition/4. Hyperparameters.srt 8.29 KB
    4. NumPy Crash Course (Optional)/6. Multidimensional Slicing.srt 8.29 KB
    6. The Perceptron/14. Cross Entropy.srt 8.26 KB
    3. Python Crash Course (Optional)/14. Common Functions & Methods.srt 8.16 KB
    5. Computer Vision Finding Lane Lines/13. Finding Lanes on Video.srt 8.11 KB
    11. Convolutional Neural Networks/2. Convolutions & MNIST.srt 7.94 KB
    11. Convolutional Neural Networks/6. Fully Connected Layer.srt 7.9 KB
    8. Deep Neural Networks/6. Backpropagation.srt 7.53 KB
    3. Python Crash Course (Optional)/24. For Loops.srt 7.51 KB
    3. Python Crash Course (Optional)/22. elif.srt 7.5 KB
    12. Classifying Road Symbols/7. Testing.srt 7.42 KB
    3. Python Crash Course (Optional)/33. Lambda & Higher Order Functions.srt 7.41 KB
    12. Classifying Road Symbols/9. Final Source Code.html 7.28 KB
    8. Deep Neural Networks/2. Non-Linear Boundaries.srt 6.63 KB
    10. MNIST Image Recognition/2. MNIST Dataset.srt 6.4 KB
    3. Python Crash Course (Optional)/6. String Data Types.srt 6.39 KB
    11. Convolutional Neural Networks/7. Starter Code.html 6.38 KB
    3. Python Crash Course (Optional)/9. Lists.srt 6.37 KB
    8. Deep Neural Networks/5. Error Function.srt 6.13 KB
    3. Python Crash Course (Optional)/4. Variables.srt 6.13 KB
    5. Computer Vision Finding Lane Lines/3. Loading Image.srt 6.1 KB
    3. Python Crash Course (Optional)/30. Functions.srt 6.04 KB
    6. The Perceptron/10. Error Function.srt 5.6 KB
    3. Python Crash Course (Optional)/17. Dictionaries.srt 5.48 KB
    3. Python Crash Course (Optional)/23. Complex Comparisons.srt 5.42 KB
    3. Python Crash Course (Optional)/3. Arithmetic Operations.srt 5.37 KB
    5. Computer Vision Finding Lane Lines/6. Simple Edge Detection.srt 5.37 KB
    6. The Perceptron/3. Supervised Learning - Friendly Example.srt 5.35 KB
    5. Computer Vision Finding Lane Lines/4. Grayscale Conversion.srt 5.34 KB
    6. The Perceptron/6. Perceptrons.srt 5.31 KB
    3. Python Crash Course (Optional)/7. Booleans.srt 5.17 KB
    11. Convolutional Neural Networks/10. Final Source Code.html 5.04 KB
    3. Python Crash Course (Optional)/21. If, else.srt 4.95 KB
    4. NumPy Crash Course (Optional)/8. Matrix Multiplication.srt 4.72 KB
    3. Python Crash Course (Optional)/12. Mutability.srt 4.66 KB
    3. Python Crash Course (Optional)/5. Numeric Data Types.srt 4.56 KB
    4. NumPy Crash Course (Optional)/4. One Dimensional Slicing.srt 4.15 KB
    3. Python Crash Course (Optional)/13. Mutability II.srt 4.1 KB
    3. Python Crash Course (Optional)/27. Break.srt 4.02 KB
    4. NumPy Crash Course (Optional)/5. Reshaping.srt 4.01 KB
    14. Behavioural Cloning/1. Overview.srt 3.99 KB
    6. The Perceptron/2. Machine Learning.srt 3.88 KB
    5. Computer Vision Finding Lane Lines/5. Smoothening Image.srt 3.88 KB
    3. Python Crash Course (Optional)/15. Tuples.srt 3.8 KB
    6. The Perceptron/17. Gradient Descent.srt 3.76 KB
    10. MNIST Image Recognition/9. Final Source Code.html 3.69 KB
    3. Python Crash Course (Optional)/8. Methods.srt 3.64 KB
    2. Installation/4. Text Editor.srt 3.58 KB
    3. Python Crash Course (Optional)/26. While Loops.srt 3.58 KB
    2. Installation/3. Anaconda Distribution - Windows.srt 3.54 KB
    1. Introduction/1. Why This Course.srt 3.53 KB
    3. Python Crash Course (Optional)/25. For Loops II.srt 3.36 KB
    2. Installation/2. Anaconda Distribution - Mac.srt 3.29 KB
    3. Python Crash Course (Optional)/16. Sets.srt 3.01 KB
    3. Python Crash Course (Optional)/11. Membership Operators.srt 2.95 KB
    5. Computer Vision Finding Lane Lines/14. Source Code.html 2.91 KB
    3. Python Crash Course (Optional)/32. Doc Strings.srt 2.9 KB
    6. The Perceptron/19. Recap.srt 2.87 KB
    3. Python Crash Course (Optional)/18. Compound Data Structures.srt 2.74 KB
    7. Keras/2. Intro to Keras.srt 2.72 KB
    6. The Perceptron/7. Weights.srt 2.56 KB
    3. Python Crash Course (Optional)/2. Jupyter Notebooks.srt 2.31 KB
    9. Multiclass Classification/5. Source Code.html 2.3 KB
    7. Keras/6. Source Code.html 2.23 KB
    6. The Perceptron/1. Overview.srt 2.14 KB
    12. Classifying Road Symbols/6. Resources Needed for Testing.html 2.11 KB
    14. Behavioural Cloning/8. Drive.py code.html 2.02 KB
    3. Python Crash Course (Optional)/31. Scope.srt 1.99 KB
    6. The Perceptron/20. Source Code.html 1.93 KB
    8. Deep Neural Networks/8. Source Code.html 1.92 KB
    12. Classifying Road Symbols/3.1 Traffic Signs Starter Project.ipynb.zip.zip 1.53 KB
    12. Classifying Road Symbols/2. Traffic Signs Starter Code.html 1.48 KB
    14. Behavioural Cloning/15. Outro.srt 1.45 KB
    3. Python Crash Course (Optional)/1. Python Crash Course Part 1 - Data Types.srt 1.44 KB
    12. Classifying Road Symbols/1. Overview.srt 1.43 KB
    6. The Perceptron/8.1 Initial Stages.ipynb.zip.zip 1.26 KB
    6. The Perceptron/9.1 Initial Stages.ipynb.zip.zip 1.26 KB
    3. Python Crash Course (Optional)/29. Part 3 - Functions.srt 1.22 KB
    6. The Perceptron/16. Source Code.html 1.17 KB
    3. Python Crash Course (Optional)/20. Part 2 - Control Flow.srt 1.1 KB
    8. Deep Neural Networks/1. Overview.srt 1.08 KB
    10. MNIST Image Recognition/1. Overview.srt 1.05 KB
    11. Convolutional Neural Networks/1. Overview.srt 1.02 KB
    4. NumPy Crash Course (Optional)/1. Overview.srt 1 KB
    12. Classifying Road Symbols/10. Section 12 - Outro.srt 1023 B
    6. The Perceptron/13. Source code.html 1022 B
    3. Python Crash Course (Optional)/34. Part 3 - Outro.srt 933 B
    5. Computer Vision Finding Lane Lines/15. Part 5 - Conclusion.srt 897 B
    9. Multiclass Classification/1. Overview.srt 884 B
    5. Computer Vision Finding Lane Lines/1. Overview.srt 867 B
    6. The Perceptron/21. Part 6 - Conclusion.srt 844 B
    13. Polynomial Regression/3. Final Source Code.html 806 B
    2. Installation/5. Outro.srt 798 B
    7. Keras/1. Overview.srt 749 B
    13. Polynomial Regression/1. Overview.srt 719 B
    2. Installation/1. Overview.srt 693 B
    10. MNIST Image Recognition/10. Section 10 - Outro.srt 579 B
    6. The Perceptron/9. Sample Code for Initial Stages.html 575 B
    8. Deep Neural Networks/9. Section 8 - Conclusion.srt 573 B
    13. Polynomial Regression/4. Section 13 - Conclusion.srt 555 B
    9. Multiclass Classification/6. Section 9 - Outro.srt 499 B
    7. Keras/3. Starter Code.html 496 B
    7. Keras/7. Part 7 - Outro.srt 493 B
    3. Python Crash Course (Optional)/28. Part 2 - Outro.srt 488 B
    11. Convolutional Neural Networks/11. Section 11 - Conclusion.srt 474 B
    3. Python Crash Course (Optional)/19. Part 1 - Outro.srt 403 B
    4. NumPy Crash Course (Optional)/10. Part 4 - Outro.srt 282 B
    10. MNIST Image Recognition/7. Resource for upcoming video.html 240 B
    udemycoursedownloader.com.url 132 B
    5. Computer Vision Finding Lane Lines/12. Resource for upcoming video.html 101 B
    Udemy Course downloader.txt 94 B
    5. Computer Vision Finding Lane Lines/2. Image needed for the next lesson.html 65 B

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