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Название [FreeTutorials.Eu] Udemy - Deep Learning & Computer Vision - Build a Self-Driving Car
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1. Overview.mp4 10.83Мб
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1. Python Crash Course Part 1 - Data Types.mp4 15.23Мб
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1. Why This Course.mp4 25.87Мб
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10. Error Function.mp4 41.63Мб
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10. Final Source Code.html 5.04Кб
10. Hough Transform II.mp4 114.70Мб
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10. Part 4 - Outro.mp4 2.48Мб
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10. Section 10 - Outro.mp4 5.96Мб
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10. Section 12 - Outro.mp4 9.93Мб
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10. Self Driving Car - Test 1.mp4 165.97Мб
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10. Slicing.mp4 55.56Мб
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11. Generator - Augmentation Techniques.mp4 380.89Мб
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11. Membership Operators.mp4 13.79Мб
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11. Optimizing.mp4 164.52Мб
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11. Section 11 - Conclusion.mp4 4.77Мб
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11. Sigmoid.mp4 61.73Мб
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12.1 test2.mp4.zip.zip 27.96Мб
12. Batch Generator.mp4 95.11Мб
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12. Mutability.mp4 32.97Мб
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12. Resource for upcoming video.html 101б
12. Sigmoid Implementation (Code).mp4 90.73Мб
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13.1 test2.mp4.mp4 31.93Мб
13. Finding Lanes on Video.mp4 82.80Мб
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13. Source code.html 1022б
14. Common Functions & Methods.mp4 46.79Мб
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14. Cross Entropy.mp4 62.73Мб
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14. Final Source Code.html 10.14Кб
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15. Cross Entropy (Code).mp4 61.25Мб
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16. Sets.mp4 19.64Мб
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16. Source Code.html 1.17Кб
17. Dictionaries.mp4 35.35Мб
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17. Gradient Descent.mp4 45.18Мб
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18. Compound Data Structures.mp4 20.19Мб
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18. Gradient Descent (Code).mp4 75.74Мб
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19. Part 1 - Outro.mp4 3.62Мб
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19. Recap.mp4 17.74Мб
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2.1 Image.zip.zip 759.11Кб
2. Anaconda Distribution - Mac.mp4 25.24Мб
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2. Collecting Data.mp4 282.41Мб
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2. Convolutions & MNIST.mp4 89.98Мб
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2. Image needed for the next lesson.html 65б
2. Implementation.mp4 128.86Мб
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2. Intro to Keras.mp4 19.98Мб
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2. Jupyter Notebooks.mp4 9.98Мб
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2. Machine Learning.mp4 37.03Мб
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2. MNIST Dataset.mp4 70.96Мб
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2. Non-Linear Boundaries.mp4 71.12Мб
2. Non-Linear Boundaries.srt 6.63Кб
2. Softmax.mp4 141.67Мб
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2. Traffic Signs Starter Code.html 1.48Кб
2. Vector Addition - Arrays vs Lists.mp4 86.82Мб
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20. Part 2 - Control Flow.mp4 11.48Мб
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20. Source Code.html 1.93Кб
21. If, else.mp4 27.17Мб
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21. Part 6 - Conclusion.mp4 9.69Мб
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22. elif.mp4 49.04Мб
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23. Complex Comparisons.mp4 29.53Мб
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27. Break.mp4 19.72Мб
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28. Part 2 - Outro.mp4 4.48Мб
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29. Part 3 - Functions.mp4 11.43Мб
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3. Anaconda Distribution - Windows.mp4 25.31Мб
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3. Architecture.mp4 126.03Мб
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3. Arithmetic Operations.mp4 25.44Мб
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3. Convolutional Layer.mp4 229.80Мб
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3. Cross Entropy.mp4 81.95Мб
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3. Downloading Data.mp4 130.62Мб
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3. Final Source Code.html 806б
3. Loading Image.mp4 40.23Мб
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3. Multidimensional Arrays.mp4 96.82Мб
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3. Preprocessing Images.mp4 330.40Мб
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3. Starter Code.html 496б
3. Supervised Learning - Friendly Example.mp4 46.59Мб
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3. Train & Test.mp4 132.04Мб
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30. Functions.mp4 31.62Мб
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31. Scope.mp4 13.17Мб
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32. Doc Strings.mp4 19.59Мб
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33. Lambda & Higher Order Functions.mp4 28.40Мб
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34. Part 3 - Outro.mp4 8.84Мб
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4. Balancing Data.mp4 74.71Мб
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4. Classification.mp4 82.08Мб
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4. Convolutions II.mp4 79.79Мб
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4. Feedforward Process.mp4 88.90Мб
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4. Grayscale Conversion.mp4 47.23Мб
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4. Hyperparameters.mp4 81.23Мб
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4. Implementation.mp4 245.30Мб
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4. Keras Models.mp4 175.26Мб
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4. leNet Implementation.mp4 129.39Мб
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4. One Dimensional Slicing.mp4 25.03Мб
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4. Section 13 - Conclusion.mp4 5.19Мб
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4. Text Editor.mp4 29.10Мб
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4. Variables.mp4 27.68Мб
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5. Error Function.mp4 54.07Мб
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5. Fine-tuning Model.mp4 117.04Мб
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5. Implementation Part 1.mp4 194.02Мб
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5. Keras - Predictions.mp4 144.46Мб
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5. Linear Model.mp4 86.36Мб
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5. Numeric Data Types.mp4 23.51Мб
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5. Outro.mp4 5.53Мб
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5. Pooling.mp4 161.92Мб
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5. Reshaping.mp4 23.41Мб
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5. Smoothening Image.mp4 30.57Мб
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5. Source Code.html 2.30Кб
5. Training & Validation Split.mp4 65.74Мб
5. Training & Validation Split.srt 11.98Кб
6. Backpropagation.mp4 65.40Мб
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6. Fully Connected Layer.mp4 77.89Мб
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6. Implementation Part 2.mp4 155.90Мб
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6. Multidimensional Slicing.mp4 49.16Мб
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6. Perceptrons.mp4 50.68Мб
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6. Preprocessing Images.mp4 161.75Мб
6. Preprocessing Images.srt 20.02Кб
6. Resources Needed for Testing.html 2.11Кб
6. Section 9 - Outro.mp4 5.40Мб
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6. Simple Edge Detection.mp4 42.64Мб
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6. Source Code.html 2.23Кб
6. String Data Types.mp4 41.96Мб
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7. Booleans.mp4 24.24Мб
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7. Code Implementation.mp4 204.25Мб
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7. Defining Nvidia Model.mp4 198.55Мб
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7. Manipulating Array Shapes.mp4 47.76Мб
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7. Part 7 - Outro.mp4 4.83Мб
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7. Region of Interest.mp4 49.33Мб
7. Region of Interest.srt 8.75Кб
7. Resource for upcoming video.html 240б
7. Starter Code.html 6.38Кб
7. Testing.mp4 63.15Мб
7. Testing.srt 7.42Кб
7. Weights.mp4 25.29Мб
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8.1 Initial Stages.ipynb.zip.zip 1.26Кб
8. Binary Numbers & Bitwise_and.mp4 91.80Мб
8. Binary Numbers & Bitwise_and.srt 11.76Кб
8. Code Implementation I.mp4 254.53Мб
8. Code Implementation I.srt 36.96Кб
8. Drive.py code.html 2.02Кб
8. Fit Generator.mp4 159.84Мб
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8. Implementation Part 3.mp4 75.33Мб
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8. Matrix Multiplication.mp4 34.28Мб
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8. Methods.mp4 20.70Мб
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8. Project - Initial Stages.mp4 78.25Мб
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8. Source Code.html 1.92Кб
9.1 Initial Stages.ipynb.zip.zip 1.26Кб
9. Code Implementation II.mp4 213.41Мб
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9. Final Source Code.html 3.69Кб
9. Final Source Code.html 7.28Кб
9. Flask & Socket.io.mp4 99.77Мб
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9. Line Detection - Hough Transform.mp4 132.64Мб
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9. Lists.mp4 35.82Мб
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9. Sample Code for Initial Stages.html 575б
9. Section 8 - Conclusion.mp4 6.02Мб
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9. Stacking.mp4 82.31Мб
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FTUApps.com website coming soon.txt 94б
How you can help Team-FTU.txt 241б
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