PDC4S:\IT\ROBOTICS\Computer Vision Courses\Deep Learning Computer Vision CNN, OpenCV, YOLO, SSD & GANs\6. Neural Networks Explained

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1. Neural Networks Chapter Overview.mp48,018 KB12/12/2021 3:34 AM
1. Neural Networks Chapter Overview.srt3 KB12/12/2021 3:34 AM
10. Epochs, Iterations and Batch Sizes.mp426,708 KB12/12/2021 3:34 AM
10. Epochs, Iterations and Batch Sizes.srt5 KB12/12/2021 3:34 AM
11. Measuring Performance and the Confusion Matrix.mp453,324 KB12/12/2021 3:34 AM
11. Measuring Performance and the Confusion Matrix.srt10 KB12/12/2021 3:34 AM
12. Review and Best Practices.mp427,795 KB12/12/2021 3:34 AM
12. Review and Best Practices.srt7 KB12/12/2021 3:34 AM
2. Machine Learning Overview.mp453,530 KB12/12/2021 3:34 AM
2. Machine Learning Overview.srt12 KB12/12/2021 3:34 AM
3. Neural Networks Explained.mp423,909 KB12/12/2021 3:34 AM
3. Neural Networks Explained.srt6 KB12/12/2021 3:34 AM
4. Forward Propagation.mp464,869 KB12/12/2021 3:34 AM
4. Forward Propagation.srt12 KB12/12/2021 3:34 AM
5. Activation Functions.mp461,066 KB12/12/2021 3:34 AM
5. Activation Functions.srt12 KB12/12/2021 3:34 AM
6. Training Part 1 – Loss Functions.mp459,818 KB12/12/2021 3:34 AM
6. Training Part 1 – Loss Functions.srt12 KB12/12/2021 3:34 AM
7. Training Part 2 – Backpropagation and Gradient Descent.mp474,368 KB12/12/2021 3:34 AM
7. Training Part 2 – Backpropagation and Gradient Descent.srt14 KB12/12/2021 3:34 AM
8. Backpropagation & Learning Rates – A Worked Example.mp4102,242 KB12/12/2021 3:34 AM
8. Backpropagation & Learning Rates – A Worked Example.srt18 KB12/12/2021 3:34 AM
9. Regularization, Overfitting, Generalization and Test Datasets.mp4121,230 KB12/12/2021 3:34 AM
9. Regularization, Overfitting, Generalization and Test Datasets.srt22 KB12/12/2021 3:34 AM