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1. Introduction.mp4
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40.4 MB
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1. Introduction.vtt
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3.2 KB
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1. Overview.html
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307.2 B
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1. Overview.mp4
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50.2 MB
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1. Overview.vtt
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307.2 B
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1. Python Crash Course Part 1 - Data Types.mp4
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15.2 MB
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1. Python Crash Course Part 1 - Data Types.vtt
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1.3 KB
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10. Code 9 - Polynomial Regression.html
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819.2 B
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10. Error Function.mp4
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41.6 MB
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10. Error Function.vtt
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4.9 KB
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10. Final Source Code.html
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5 KB
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10. Hough Transform II.mp4
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114.7 MB
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10. Hough Transform II.vtt
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14.2 KB
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10. Membership Operators.mp4
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13.8 MB
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10. Membership Operators.vtt
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2.6 KB
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10. Part 4 - Outro.mp4
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2.5 MB
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10. Part 4 - Outro.vtt
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204.8 B
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10. Section 10 - Outro.mp4
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5.9 MB
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10. Section 10 - Outro.vtt
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512 B
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10. Section 12 - Outro.mp4
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9.9 MB
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10. Section 12 - Outro.vtt
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307.2 B
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10. Self Driving Car - Test 1.mp4
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307.2 B
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10. Self Driving Car - Test 1.vtt
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307.2 B
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11. Code 10 - Behavioural Cloning.html
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10.1 KB
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11. Generator - Augmentation Techniques.mp4
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307.2 B
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11. Generator - Augmentation Techniques.vtt
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307.2 B
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11. Mutability.mp4
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33 MB
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11. Mutability.vtt
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11. Optimizing.mp4
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164.5 MB
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11. Optimizing.vtt
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14.8 KB
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11. Section 11 - Conclusion.mp4
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4.8 MB
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11. Section 11 - Conclusion.vtt
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409.6 B
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11. Sigmoid.mp4
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61.7 MB
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11. Sigmoid.vtt
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7.4 KB
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12. Batch Generator.mp4
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307.2 B
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12. Batch Generator.vtt
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307.2 B
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12. Mutability II.mp4
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31.6 MB
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12. Mutability II.vtt
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3.6 KB
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12. Resource for upcoming video.html
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102.4 B
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12. Sigmoid Implementation (Code).mp4
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90.7 MB
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12. Sigmoid Implementation (Code).vtt
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13.2 KB
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12. Simulation Output Results - Training Track.mp4
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307.2 B
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12. Simulation Output Results - Training Track.vtt
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307.2 B
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12.1 test2.mp4.zip.zip
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28 MB
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13. Common Functions & Methods.mp4
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46.8 MB
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13. Common Functions & Methods.vtt
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13. Finding Lanes on Video.mp4
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82.8 MB
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13. Finding Lanes on Video.vtt
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13. Fit Generator.mp4
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307.2 B
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13. Fit Generator.vtt
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307.2 B
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13. Simulation Output Results - Test Track.mp4
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307.2 B
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13. Simulation Output Results - Test Track.vtt
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307.2 B
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13. Source code.html
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1 KB
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13.1 test2.mp4.mp4
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31.9 MB
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14. Cross Entropy.mp4
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62.7 MB
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14. Cross Entropy.vtt
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7.3 KB
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14. Final Source Code.html
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10.1 KB
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14. Source Code.html
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2.9 KB
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14. Tuples.mp4
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23.1 MB
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14. Tuples.vtt
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3.3 KB
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15. Cross Entropy (Code).mp4
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61.2 MB
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15. Cross Entropy (Code).vtt
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15. Outro.mp4
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307.2 B
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15. Outro.vtt
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15. Part 5 - Conclusion.mp4
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10.2 MB
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15. Part 5 - Conclusion.vtt
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819.2 B
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15. Sets.mp4
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19.6 MB
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15. Sets.vtt
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16. Dictionaries.mp4
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35.3 MB
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16. Dictionaries.vtt
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4.8 KB
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16. Source Code.html
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1.2 KB
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17. Compound Data Structures.mp4
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20.2 MB
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17. Compound Data Structures.vtt
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17. Gradient Descent.mp4
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45.2 MB
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17. Gradient Descent.vtt
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3.4 KB
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18. Gradient Descent (Code).mp4
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75.7 MB
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18. Gradient Descent (Code).vtt
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9.5 KB
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18. Part 1 - Outro.mp4
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3.6 MB
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18. Part 1 - Outro.vtt
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409.6 B
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19. Part 2 - Control Flow.mp4
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11.5 MB
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19. Part 2 - Control Flow.vtt
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1 KB
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19. Recap.mp4
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17.7 MB
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19. Recap.vtt
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2.6 KB
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2. Anaconda Distribution.mp4
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26.3 MB
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2. Anaconda Distribution.vtt
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2.9 KB
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2. Arithmetic Operations.mp4
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25.4 MB
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2. Arithmetic Operations.vtt
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4.8 KB
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2. Code 1 - Computer Vision.html
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2.9 KB
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2. Collecting Data.mp4
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MP4
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282.4 MB
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2. Collecting Data.vtt
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307.2 B
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2. Convolutions & MNIST.mp4
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MP4
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90 MB
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2. Convolutions & MNIST.vtt
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7.1 KB
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2. Image needed for the next lesson.html
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102.4 B
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2. Implementation.mp4
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MP4
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128.9 MB
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2. Implementation.vtt
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307.2 B
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2. Intro to Keras.mp4
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MP4
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21.4 MB
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2. Intro to Keras.vtt
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2.4 KB
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2. MNIST Dataset.mp4
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MP4
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71 MB
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2. MNIST Dataset.vtt
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5.7 KB
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2. Machine Learning.mp4
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37 MB
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2. Machine Learning.vtt
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3.5 KB
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2. Non-Linear Boundaries.mp4
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71.1 MB
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2. Non-Linear Boundaries.vtt
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5.9 KB
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2. Softmax.mp4
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MP4
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141.7 MB
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2. Softmax.vtt
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14.4 KB
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2. Traffic Signs Starter Code.html
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1.5 KB
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2. Vector Addition - Arrays vs Lists.mp4
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MP4
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86.8 MB
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2. Vector Addition - Arrays vs Lists.vtt
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12.7 KB
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2.1 Image.zip.zip
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ZIP
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759.1 KB
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20. If, else.mp4
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MP4
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27.2 MB
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20. If, else.vtt
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4.4 KB
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20. Source Code.html
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1.9 KB
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21. Part 6 - Conclusion.mp4
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9.7 MB
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21. Part 6 - Conclusion.vtt
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716.8 B
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21. elif.mp4
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49 MB
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21. elif.vtt
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6.5 KB
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22. Complex Comparisons.mp4
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29.5 MB
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22. Complex Comparisons.vtt
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4.7 KB
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23. For Loops.mp4
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38.5 MB
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23. For Loops.vtt
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6.6 KB
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24. For Loops II.mp4
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15.1 MB
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24. For Loops II.vtt
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2.9 KB
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25. While Loops.mp4
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20.2 MB
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25. While Loops.vtt
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3.1 KB
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26. Break.mp4
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19.7 MB
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26. Break.vtt
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3.5 KB
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27. Part 2 - Outro.mp4
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4.5 MB
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27. Part 2 - Outro.vtt
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409.6 B
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28. Part 3 - Functions.mp4
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11.4 MB
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28. Part 3 - Functions.vtt
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1.1 KB
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29. Functions.mp4
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31.6 MB
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29. Functions.vtt
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5.3 KB
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3. Architecture.mp4
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MP4
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126 MB
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3. Architecture.vtt
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VTT
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11.7 KB
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3. Code 2 - Intro to Neural Networks.html
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1.9 KB
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3. Convolutional Layer.mp4
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MP4
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229.8 MB
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3. Convolutional Layer.vtt
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VTT
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20 KB
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3. Cross Entropy.mp4
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MP4
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81.9 MB
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3. Cross Entropy.vtt
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10.3 KB
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3. Downloading Data.mp4
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MP4
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130.6 MB
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3. Downloading Data.vtt
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VTT
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307.2 B
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3. Final Source Code.html
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HTML
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819.2 B
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3. Jupyter Notebooks.mp4
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MP4
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41.9 MB
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3. Jupyter Notebooks.vtt
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6.1 KB
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3. Linear Regression.mp4
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MP4
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46.6 MB
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3. Linear Regression.vtt
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4.8 KB
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3. Loading Images.mp4
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MP4
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30.7 MB
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3. Loading Images.vtt
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4.8 KB
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3. Multidimensional Arrays.mp4
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MP4
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96.8 MB
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3. Multidimensional Arrays.vtt
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11.8 KB
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3. Preprocessing Images.mp4
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330.4 MB
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3. Preprocessing Images.vtt
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43.1 KB
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3. Starter Code.html
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HTML
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512 B
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3. Train & Test.mp4
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MP4
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132 MB
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3. Train & Test.vtt
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14.3 KB
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3. Variables.mp4
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MP4
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27.7 MB
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3. Variables.vtt
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5.5 KB
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3.1 Image.zip.zip
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ZIP
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759.1 KB
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3.1 Traffic Signs Starter Project.ipynb.zip.zip
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ZIP
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1.5 KB
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30. Scope.mp4
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MP4
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13.2 MB
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30. Scope.vtt
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1.8 KB
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31. Doc Strings.mp4
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19.6 MB
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31. Doc Strings.vtt
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2.6 KB
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32. Lambda & Higher Order Functions.mp4
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MP4
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28.4 MB
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32. Lambda & Higher Order Functions.vtt
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6.5 KB
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33. Part 3 - Outro.mp4
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MP4
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8.8 MB
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33. Part 3 - Outro.vtt
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819.2 B
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4. Balancing Data.mp4
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MP4
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74.7 MB
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4. Balancing Data.vtt
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VTT
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307.2 B
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4. Classification.mp4
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MP4
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82.1 MB
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4. Classification.vtt
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VTT
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8.6 KB
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4. Code 3 - Intro to Keras.html
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HTML
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2.3 KB
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4. Convolutions II.mp4
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MP4
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79.8 MB
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4. Convolutions II.vtt
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8.6 KB
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4. Feedforward Process.mp4
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MP4
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88.9 MB
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4. Feedforward Process.vtt
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9.9 KB
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4. Grayscale.mp4
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MP4
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47.2 MB
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4. Grayscale.vtt
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4.7 KB
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4. Hyperparameters.mp4
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MP4
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81.2 MB
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4. Hyperparameters.vtt
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7.4 KB
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4. Implementation.mp4
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MP4
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245.3 MB
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4. Implementation.vtt
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35.2 KB
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4. Keras Models.mp4
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MP4
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175.3 MB
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4. Keras Models.vtt
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VTT
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24.1 KB
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4. Numeric Data Types.mp4
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MP4
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23.5 MB
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4. Numeric Data Types.vtt
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VTT
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4.1 KB
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4. One Dimensional Slicing.mp4
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MP4
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27.8 MB
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4. One Dimensional Slicing.vtt
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3.9 KB
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4. Section 13 - Conclusion.mp4
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MP4
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5.2 MB
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4. Section 13 - Conclusion.vtt
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307.2 B
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4. Text Editor.mp4
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MP4
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29.1 MB
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4. Text Editor.vtt
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3.2 KB
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4. leNet Implementation.mp4
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MP4
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129.4 MB
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4. leNet Implementation.vtt
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VTT
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20.3 KB
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5. Code 4 - Deep Neural Networks.html
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HTML
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1.9 KB
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5. Error Function.mp4
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MP4
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54.1 MB
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5. Error Function.vtt
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VTT
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5.5 KB
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5. Fine-tuning Model.mp4
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MP4
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117 MB
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5. Fine-tuning Model.vtt
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15.3 KB
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5. Gaussian Blur.mp4
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MP4
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30.6 MB
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5. Gaussian Blur.vtt
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VTT
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3.4 KB
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5. Implementation Part 1.mp4
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MP4
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194 MB
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5. Implementation Part 1.vtt
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VTT
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34.5 KB
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5. Keras - Predictions.mp4
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MP4
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144.4 MB
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5. Keras - Predictions.vtt
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20.3 KB
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5. Linear Model.mp4
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MP4
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86.4 MB
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5. Linear Model.vtt
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7.8 KB
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5. Outro.mp4
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MP4
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5.5 MB
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5. Outro.vtt
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VTT
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716.8 B
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5. Pooling.mp4
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MP4
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161.9 MB
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5. Pooling.vtt
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VTT
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16 KB
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5. Reshaping.mp4
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MP4
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23.4 MB
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5. Reshaping.vtt
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VTT
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3.5 KB
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5. Source Code.html
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HTML
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2.3 KB
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5. String Data Types.mp4
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MP4
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42 MB
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5. String Data Types.vtt
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VTT
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5.7 KB
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5. Training & Validation Split.mp4
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MP4
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65.7 MB
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5. Training & Validation Split.vtt
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VTT
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307.2 B
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6. Backpropagation.mp4
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MP4
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65.4 MB
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6. Backpropagation.vtt
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VTT
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6.6 KB
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6. Booleans.mp4
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MP4
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24.2 MB
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6. Booleans.vtt
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4.6 KB
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6. Canny Edge Detection.mp4
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MP4
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42.6 MB
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6. Canny Edge Detection.vtt
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VTT
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4.7 KB
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6. Code 5 - Multiclass Classification.html
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HTML
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2.3 KB
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6. Fully Connected Layer.mp4
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MP4
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77.9 MB
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6. Fully Connected Layer.vtt
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VTT
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7.1 KB
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6. Implementation Part 2.mp4
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MP4
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155.9 MB
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6. Implementation Part 2.vtt
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VTT
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21.4 KB
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6. Multidimensional Slicing.mp4
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MP4
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49.2 MB
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6. Multidimensional Slicing.vtt
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7.3 KB
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6. Perceptrons.mp4
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MP4
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50.7 MB
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6. Perceptrons.vtt
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VTT
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4.7 KB
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6. Preprocessing Images.mp4
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MP4
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161.7 MB
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6. Preprocessing Images.vtt
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VTT
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307.2 B
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6. Resources Needed for Testing.html
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HTML
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2.1 KB
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6. Section 9 - Outro.mp4
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MP4
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5.4 MB
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6. Section 9 - Outro.vtt
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VTT
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409.6 B
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6. Source Code.html
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HTML
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2.2 KB
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7. Code 6 - MNIST Image Recognition.html
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HTML
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3.7 KB
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7. Code Implementation.mp4
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MP4
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204.2 MB
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7. Code Implementation.vtt
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VTT
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29.4 KB
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7. Defining Nvidia Model.mp4
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MP4
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198.5 MB
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7. Defining Nvidia Model.vtt
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VTT
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307.2 B
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7. Manipulating Array Shapes.mp4
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MP4
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47.8 MB
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7. Manipulating Array Shapes.vtt
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VTT
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8.4 KB
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7. Methods.mp4
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MP4
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20.7 MB
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7. Methods.vtt
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VTT
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3.3 KB
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7. Part 7 - Outro.mp4
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MP4
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4.8 MB
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7. Part 7 - Outro.vtt
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VTT
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409.6 B
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7. Region of Interest.mp4
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MP4
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49.3 MB
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7. Region of Interest.vtt
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VTT
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7.8 KB
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7. Resource for upcoming video.html
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HTML
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204.8 B
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7. Starter Code.html
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HTML
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6.4 KB
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7. Testing.mp4
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MP4
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63.1 MB
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7. Testing.vtt
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VTT
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307.2 B
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7. Weights.mp4
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MP4
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25.3 MB
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7. Weights.vtt
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VTT
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2.3 KB
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8. Binary Numbers & Bitwise_and.mp4
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MP4
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91.8 MB
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8. Binary Numbers & Bitwise_and.vtt
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VTT
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10.3 KB
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8. Code 7 - Convolutional Neural Networks.html
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HTML
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5.1 KB
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8. Code Implementation I.mp4
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MP4
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254.5 MB
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8. Code Implementation I.vtt
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VTT
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32.4 KB
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8. Drive.py code.html
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HTML
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2 KB
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8. Fit Generator.mp4
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MP4
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159.8 MB
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8. Fit Generator.vtt
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VTT
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307.2 B
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8. Implementation Part 3.mp4
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MP4
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75.3 MB
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8. Implementation Part 3.vtt
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VTT
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11 KB
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8. Lists.mp4
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MP4
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35.8 MB
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8. Lists.vtt
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VTT
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5.7 KB
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8. Matrix Multiplication.mp4
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MP4
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34.3 MB
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8. Matrix Multiplication.vtt
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VTT
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4.2 KB
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8. Project - Initial Stages.mp4
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MP4
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78.2 MB
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8. Project - Initial Stages.vtt
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VTT
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12.9 KB
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8. Source Code.html
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HTML
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1.9 KB
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8.1 Initial Stages.ipynb.zip.zip
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ZIP
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1.3 KB
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9. Code 8 - Traffic Sign Classification.html
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HTML
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7.3 KB
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9. Code Implementation II.mp4
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MP4
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213.4 MB
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9. Code Implementation II.vtt
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VTT
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26.4 KB
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9. Final Source Code.html
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HTML
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3.7 KB
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9. Flask & Socket.io.mp4
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MP4
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307.2 B
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9. Flask & Socket.io.vtt
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VTT
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307.2 B
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9. Hough Transform.mp4
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MP4
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132.6 MB
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9. Hough Transform.vtt
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VTT
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12.1 KB
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9. Sample Code for Initial Stages.html
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HTML
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614.4 B
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9. Section 8 - Conclusion.mp4
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MP4
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6 MB
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9. Section 8 - Conclusion.vtt
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VTT
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512 B
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9. Slicing.mp4
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MP4
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55.6 MB
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9. Slicing.vtt
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VTT
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7.8 KB
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9. Stacking.mp4
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MP4
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82.3 MB
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9. Stacking.vtt
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VTT
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12.9 KB
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9.1 Initial Stages.ipynb.zip.zip
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ZIP
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1.3 KB
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