[FreeCourseSite.com] Udemy - The Complete Self-Driving Car Course

Creation Time	Feb. 1, 2026, 1:59 p.m.
Last Access Time	March 19, 2026, 8:42 p.m.
File Size	9.2 GB
Keywords	Applied Complete FreeCourseSite Self-Driving - Deep Udemy Course – Learning Car The com
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Total Files	305
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14. Behavioural Cloning/11. Generator - Augmentation Techniques.mp4 380.9 MB
12. Classifying Road Symbols/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
14. Behavioural Cloning/13. Fit Generator.mp4 248.4 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
14. Behavioural Cloning/10. Self Driving Car - Test 1.mp4 166.0 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. Classifying Road Symbols/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 144.5 MB
9. Multiclass Classification/2. Softmax.mp4 141.7 MB
5. Computer Vision Finding Lane Lines/9. Line Detection - 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. Classifying Road Symbols/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. Classifying Road Symbols/5. Fine-tuning Model.mp4 117.0 MB
5. Computer Vision Finding Lane Lines/10. Hough Transform II.mp4 114.7 MB
14. Behavioural Cloning/9. Flask & Socket.io.mp4 99.8 MB
4. NumPy Crash Course (Optional)/3. Multidimensional Arrays.mp4 96.8 MB
14. Behavioural Cloning/12. Batch Generator.mp4 95.1 MB
5. Computer Vision Finding Lane Lines/8. Binary Numbers & Bitwise_and.mp4 91.8 MB
6. The Perceptron/12. Sigmoid Implementation (Code).mp4 90.7 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. The Perceptron/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. The Perceptron/4. Classification.mp4 82.1 MB
9. Multiclass Classification/3. Cross Entropy.mp4 82.0 MB
10. MNIST Image Recognition/4. Hyperparameters.mp4 81.2 MB
11. Convolutional Neural Networks/4. Convolutions II.mp4 79.8 MB
6. The Perceptron/8. Project - Initial Stages.mp4 78.2 MB
11. Convolutional Neural Networks/6. Fully Connected Layer.mp4 77.9 MB
6. The Perceptron/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. Classifying Road Symbols/7. Testing.mp4 63.1 MB
6. The Perceptron/14. Cross Entropy.mp4 62.7 MB
6. The Perceptron/11. Sigmoid.mp4 61.7 MB
6. The Perceptron/15. Cross Entropy (Code).mp4 61.2 MB
3. Python Crash Course (Optional)/10. Slicing.mp4 55.6 MB
8. Deep Neural Networks/5. Error Function.mp4 54.1 MB
6. The Perceptron/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)/22. 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 Conversion.mp4 47.2 MB
3. Python Crash Course (Optional)/14. Common Functions & Methods.mp4 46.8 MB
6. The Perceptron/3. Supervised Learning - Friendly Example.mp4 46.6 MB
6. The Perceptron/17. Gradient Descent.mp4 45.2 MB
5. Computer Vision Finding Lane Lines/6. Simple Edge Detection.mp4 42.6 MB
3. Python Crash Course (Optional)/6. String Data Types.mp4 42.0 MB
6. The Perceptron/10. Error Function.mp4 41.6 MB
5. Computer Vision Finding Lane Lines/3. Loading Image.mp4 40.2 MB
3. Python Crash Course (Optional)/24. For Loops.mp4 38.5 MB
6. The Perceptron/2. Machine Learning.mp4 37.0 MB
3. Python Crash Course (Optional)/9. Lists.mp4 35.8 MB
3. Python Crash Course (Optional)/17. Dictionaries.mp4 35.3 MB
4. NumPy Crash Course (Optional)/8. Matrix Multiplication.mp4 34.3 MB
3. Python Crash Course (Optional)/12. Mutability.mp4 33.0 MB
5. Computer Vision Finding Lane Lines/13.1 test2.mp4.mp4 31.9 MB
3. Python Crash Course (Optional)/13. Mutability II.mp4 31.6 MB
3. Python Crash Course (Optional)/30. Functions.mp4 31.6 MB
5. Computer Vision Finding Lane Lines/5. Smoothening Image.mp4 30.6 MB
3. Python Crash Course (Optional)/23. Complex Comparisons.mp4 29.5 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 28.0 MB
6. The Perceptron/1. Overview.mp4 27.8 MB
3. Python Crash Course (Optional)/4. Variables.mp4 27.7 MB
3. Python Crash Course (Optional)/21. If, else.mp4 27.2 MB
1. Introduction/1. Why This Course.mp4 25.9 MB
3. Python Crash Course (Optional)/3. Arithmetic Operations.mp4 25.4 MB
2. Installation/3. Anaconda Distribution - Windows.mp4 25.3 MB
6. The Perceptron/7. Weights.mp4 25.3 MB
2. Installation/2. Anaconda Distribution - Mac.mp4 25.2 MB
4. NumPy Crash Course (Optional)/4. One Dimensional Slicing.mp4 25.0 MB
3. Python Crash Course (Optional)/7. Booleans.mp4 24.2 MB
3. Python Crash Course (Optional)/5. Numeric Data Types.mp4 23.5 MB
4. NumPy Crash Course (Optional)/5. Reshaping.mp4 23.4 MB
3. Python Crash Course (Optional)/15. Tuples.mp4 23.1 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 20.2 MB
7. Keras/2. Intro to Keras.mp4 20.0 MB
3. Python Crash Course (Optional)/27. Break.mp4 19.7 MB
3. Python Crash Course (Optional)/16. Sets.mp4 19.6 MB
3. Python Crash Course (Optional)/32. Doc Strings.mp4 19.6 MB
14. Behavioural Cloning/15. Outro.mp4 19.6 MB
6. The Perceptron/19. Recap.mp4 17.7 MB
8. Deep Neural Networks/1. Overview.mp4 15.7 MB
3. Python Crash Course (Optional)/1. Python Crash Course Part 1 - Data Types.mp4 15.2 MB
3. Python Crash Course (Optional)/25. For Loops II.mp4 15.1 MB
12. Classifying Road Symbols/1. Overview.mp4 14.5 MB
3. Python Crash Course (Optional)/11. Membership Operators.mp4 13.8 MB
3. Python Crash Course (Optional)/31. Scope.mp4 13.2 MB
3. Python Crash Course (Optional)/20. Part 2 - Control Flow.mp4 11.5 MB
3. Python Crash Course (Optional)/29. 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
9. Multiclass Classification/1. Overview.mp4 10.4 MB
5. Computer Vision Finding Lane Lines/15. Part 5 - Conclusion.mp4 10.2 MB
3. Python Crash Course (Optional)/2. Jupyter Notebooks.mp4 10.0 MB
12. Classifying Road Symbols/10. Section 12 - Outro.mp4 9.9 MB
6. The Perceptron/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)/34. 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 6.0 MB
2. Installation/1. Overview.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)/28. Part 2 - Outro.mp4 4.5 MB
3. Python Crash Course (Optional)/19. 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. Classifying Road Symbols/3. Preprocessing Images.srt 49.2 KB
9. Multiclass Classification/4. Implementation.srt 40.2 KB
10. MNIST Image Recognition/5. Implementation Part 1.srt 39.4 KB
14. Behavioural Cloning/11. Generator - Augmentation Techniques.srt 37.6 KB
11. Convolutional Neural Networks/8. Code Implementation I.srt 37.0 KB
8. Deep Neural Networks/7. Code Implementation.srt 33.5 KB
11. Convolutional Neural Networks/9. Code Implementation II.srt 30.0 KB
14. Behavioural Cloning/7. Defining Nvidia Model.srt 29.5 KB
7. Keras/4. Keras Models.srt 27.5 KB
12. Classifying Road Symbols/8. Fit Generator.srt 26.3 KB
10. MNIST Image Recognition/6. Implementation Part 2.srt 24.4 KB
7. Keras/5. Keras - Predictions.srt 23.2 KB
12. Classifying Road Symbols/4. leNet Implementation.srt 23.1 KB
11. Convolutional Neural Networks/3. Convolutional Layer.srt 22.6 KB
14. Behavioural Cloning/2. Collecting Data.srt 21.5 KB
14. Behavioural Cloning/13. Fit Generator.srt 21.2 KB
14. Behavioural Cloning/6. Preprocessing Images.srt 20.0 KB
14. Behavioural Cloning/3. Downloading Data.srt 18.7 KB
11. Convolutional Neural Networks/5. Pooling.srt 18.1 KB
14. Behavioural Cloning/9. Flask & Socket.io.srt 17.8 KB
12. Classifying Road Symbols/5. Fine-tuning Model.srt 17.4 KB
13. Polynomial Regression/2. Implementation.srt 17.1 KB
5. Computer Vision Finding Lane Lines/11. Optimizing.srt 16.9 KB
9. Multiclass Classification/2. Softmax.srt 16.3 KB
5. Computer Vision Finding Lane Lines/10. Hough Transform II.srt 16.3 KB
10. MNIST Image Recognition/3. Train & Test.srt 16.2 KB
14. Behavioural Cloning/10. Self Driving Car - Test 1.srt 16.2 KB
6. The Perceptron/12. Sigmoid Implementation (Code).srt 15.0 KB
4. NumPy Crash Course (Optional)/9. Stacking.srt 14.7 KB
6. The Perceptron/8. Project - Initial Stages.srt 14.6 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 13.8 KB
4. NumPy Crash Course (Optional)/3. Multidimensional Arrays.srt 13.4 KB
8. Deep Neural Networks/3. Architecture.srt 13.1 KB
14. Behavioural Cloning/4. Balancing Data.srt 12.9 KB
10. MNIST Image Recognition/8. Implementation Part 3.srt 12.6 KB
14. Behavioural Cloning/12. Batch Generator.srt 12.2 KB
14. Behavioural Cloning/5. Training & Validation Split.srt 12.0 KB
5. Computer Vision Finding Lane Lines/8. Binary Numbers & Bitwise_and.srt 11.8 KB
9. Multiclass Classification/3. Cross Entropy.srt 11.7 KB
8. Deep Neural Networks/4. Feedforward Process.srt 11.1 KB
6. The Perceptron/18. Gradient Descent (Code).srt 10.9 KB
14. Behavioural Cloning/14. Final Source Code.html 10.1 KB
6. The Perceptron/15. Cross Entropy (Code).srt 9.8 KB
11. Convolutional Neural Networks/4. Convolutions II.srt 9.8 KB
6. The Perceptron/4. Classification.srt 9.7 KB
4. NumPy Crash Course (Optional)/7. Manipulating Array Shapes.srt 9.7 KB
3. Python Crash Course (Optional)/10. Slicing.srt 9.0 KB
6. The Perceptron/5. Linear Model.srt 8.9 KB
5. Computer Vision Finding Lane Lines/7. Region of Interest.srt 8.7 KB
6. The Perceptron/11. Sigmoid.srt 8.4 KB
10. MNIST Image Recognition/4. Hyperparameters.srt 8.3 KB
4. NumPy Crash Course (Optional)/6. Multidimensional Slicing.srt 8.3 KB
6. The Perceptron/14. Cross Entropy.srt 8.3 KB
3. Python Crash Course (Optional)/14. Common Functions & Methods.srt 8.2 KB
5. Computer Vision Finding Lane Lines/13. Finding Lanes on Video.srt 8.1 KB
11. Convolutional Neural Networks/2. Convolutions & MNIST.srt 7.9 KB
11. Convolutional Neural Networks/6. Fully Connected Layer.srt 7.9 KB
8. Deep Neural Networks/6. Backpropagation.srt 7.5 KB
3. Python Crash Course (Optional)/24. For Loops.srt 7.5 KB
3. Python Crash Course (Optional)/22. elif.srt 7.5 KB
12. Classifying Road Symbols/7. Testing.srt 7.4 KB
3. Python Crash Course (Optional)/33. Lambda & Higher Order Functions.srt 7.4 KB
12. Classifying Road Symbols/9. Final Source Code.html 7.3 KB
8. Deep Neural Networks/2. Non-Linear Boundaries.srt 6.6 KB
10. MNIST Image Recognition/2. MNIST Dataset.srt 6.4 KB
3. Python Crash Course (Optional)/6. String Data Types.srt 6.4 KB
11. Convolutional Neural Networks/7. Starter Code.html 6.4 KB
3. Python Crash Course (Optional)/9. Lists.srt 6.4 KB
8. Deep Neural Networks/5. Error Function.srt 6.1 KB
3. Python Crash Course (Optional)/4. Variables.srt 6.1 KB
5. Computer Vision Finding Lane Lines/3. Loading Image.srt 6.1 KB
3. Python Crash Course (Optional)/30. Functions.srt 6.0 KB
6. The Perceptron/10. Error Function.srt 5.6 KB
3. Python Crash Course (Optional)/17. Dictionaries.srt 5.5 KB
3. Python Crash Course (Optional)/23. Complex Comparisons.srt 5.4 KB
3. Python Crash Course (Optional)/3. Arithmetic Operations.srt 5.4 KB
5. Computer Vision Finding Lane Lines/6. Simple Edge Detection.srt 5.4 KB
6. The Perceptron/3. Supervised Learning - Friendly Example.srt 5.4 KB
5. Computer Vision Finding Lane Lines/4. Grayscale Conversion.srt 5.3 KB
6. The Perceptron/6. Perceptrons.srt 5.3 KB
3. Python Crash Course (Optional)/7. Booleans.srt 5.2 KB
11. Convolutional Neural Networks/10. Final Source Code.html 5.0 KB
3. Python Crash Course (Optional)/21. If, else.srt 4.9 KB
4. NumPy Crash Course (Optional)/8. Matrix Multiplication.srt 4.7 KB
3. Python Crash Course (Optional)/12. Mutability.srt 4.7 KB
3. Python Crash Course (Optional)/5. Numeric Data Types.srt 4.6 KB
4. NumPy Crash Course (Optional)/4. One Dimensional Slicing.srt 4.1 KB
3. Python Crash Course (Optional)/13. Mutability II.srt 4.1 KB
3. Python Crash Course (Optional)/27. Break.srt 4.0 KB
4. NumPy Crash Course (Optional)/5. Reshaping.srt 4.0 KB
14. Behavioural Cloning/1. Overview.srt 4.0 KB
6. The Perceptron/2. Machine Learning.srt 3.9 KB
5. Computer Vision Finding Lane Lines/5. Smoothening Image.srt 3.9 KB
3. Python Crash Course (Optional)/15. Tuples.srt 3.8 KB
6. The Perceptron/17. Gradient Descent.srt 3.8 KB
10. MNIST Image Recognition/9. Final Source Code.html 3.7 KB
3. Python Crash Course (Optional)/8. Methods.srt 3.6 KB
2. Installation/4. Text Editor.srt 3.6 KB
3. Python Crash Course (Optional)/26. While Loops.srt 3.6 KB
2. Installation/3. Anaconda Distribution - Windows.srt 3.5 KB
1. Introduction/1. Why This Course.srt 3.5 KB
3. Python Crash Course (Optional)/25. For Loops II.srt 3.4 KB
2. Installation/2. Anaconda Distribution - Mac.srt 3.3 KB
3. Python Crash Course (Optional)/16. Sets.srt 3.0 KB
3. Python Crash Course (Optional)/11. Membership Operators.srt 2.9 KB
5. Computer Vision Finding Lane Lines/14. Source Code.html 2.9 KB
3. Python Crash Course (Optional)/32. Doc Strings.srt 2.9 KB
6. The Perceptron/19. Recap.srt 2.9 KB
3. Python Crash Course (Optional)/18. Compound Data Structures.srt 2.7 KB
7. Keras/2. Intro to Keras.srt 2.7 KB
6. The Perceptron/7. Weights.srt 2.6 KB
3. Python Crash Course (Optional)/2. Jupyter Notebooks.srt 2.3 KB
9. Multiclass Classification/5. Source Code.html 2.3 KB
7. Keras/6. Source Code.html 2.2 KB
6. The Perceptron/1. Overview.srt 2.1 KB
12. Classifying Road Symbols/6. Resources Needed for Testing.html 2.1 KB
14. Behavioural Cloning/8. Drive.py code.html 2.0 KB
3. Python Crash Course (Optional)/31. Scope.srt 2.0 KB
6. The Perceptron/20. Source Code.html 1.9 KB
8. Deep Neural Networks/8. Source Code.html 1.9 KB
12. Classifying Road Symbols/3.1 Traffic Signs Starter Project.ipynb.zip.zip 1.5 KB
12. Classifying Road Symbols/2. Traffic Signs Starter Code.html 1.5 KB
14. Behavioural Cloning/15. Outro.srt 1.4 KB
3. Python Crash Course (Optional)/1. Python Crash Course Part 1 - Data Types.srt 1.4 KB
12. Classifying Road Symbols/1. Overview.srt 1.4 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 1.0 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 1023 bytes
6. The Perceptron/13. Source code.html 1022 bytes
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
10. MNIST Image Recognition/7. Resource for upcoming video.html 240 bytes
[FCS Forum].url 133 bytes
[FreeCourseSite.com].url 127 bytes
[CourseClub.NET].url 123 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

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

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