Index of /files/Udemy/Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4 2022-2/11. Deep Learning in Computer Vision Introduction/
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1. Introduction to Convolution Neural Networks.mp4 27-Feb-2022 15:34 16642784
10. Fully Connected Layers.mp4 27-Feb-2022 15:34 11879586
11. Softmax.mp4 27-Feb-2022 15:34 9297703
12. Putting Together Your Convolutional Neural ..> 27-Feb-2022 15:34 30811344
13. Parameter Counts in CNNs.mp4 27-Feb-2022 15:34 24973689
14. Why CNNs Work So Well On Images.mp4 27-Feb-2022 15:34 21508783
15. Training a CNN.mp4 27-Feb-2022 15:34 28705664
16. Loss Functions.mp4 27-Feb-2022 15:34 26097950
17. Backpropagation.mp4 27-Feb-2022 15:34 30393937
18. Gradient Descent.mp4 27-Feb-2022 15:34 34531469
19. Optimisers and Learning Rate Schedules.mp4 27-Feb-2022 15:34 42903344
2. Convolutions.mp4 27-Feb-2022 15:34 35496195
20. Deep Learning CNN Recap.mp4 27-Feb-2022 15:34 38145491
21. Deep Learning History.mp4 27-Feb-2022 15:34 60317178
22. Deep Learning Libraries Overview.mp4 27-Feb-2022 15:35 61920784
3. Feature Detectors.mp4 27-Feb-2022 15:34 25026408
4. 3D Convolutions and Color Images.mp4 27-Feb-2022 15:34 17441335
5. Kernel Size and Depth.mp4 27-Feb-2022 15:34 14323047
6. Padding.mp4 27-Feb-2022 15:34 14856011
7. Stride.mp4 27-Feb-2022 15:34 17976025
8. Activation Functions.mp4 27-Feb-2022 15:34 22798165
9. Pooling.mp4 27-Feb-2022 15:34 24562376