PDC4S:\D\Deep Learning Computer Vision CNN, OpenCV, YOLO, SSD & GANs\6. Neural Networks Explained in Detail

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1. Neural Networks Chapter Overview.mp48,018 KB6/8/2019 5:29 AM
1. Neural Networks Chapter Overview.vtt2 KB6/8/2019 5:29 AM
10. Epochs, Iterations and Batch Sizes.mp426,698 KB6/8/2019 6:22 AM
10. Epochs, Iterations and Batch Sizes.vtt5 KB6/8/2019 5:29 AM
11. Measuring Performance and the Confusion Matrix.mp453,324 KB6/8/2019 6:27 AM
11. Measuring Performance and the Confusion Matrix.vtt9 KB6/8/2019 5:29 AM
12. Review and Best Practices.mp427,785 KB6/8/2019 6:24 AM
12. Review and Best Practices.vtt6 KB6/8/2019 5:29 AM
2. Machine Learning Overview.mp453,530 KB6/8/2019 6:25 AM
2. Machine Learning Overview.vtt10 KB6/8/2019 5:30 AM
3. Neural Networks Explained.mp423,909 KB6/8/2019 6:22 AM
3. Neural Networks Explained.vtt5 KB6/8/2019 5:29 AM
4. Forward Propagation.mp464,859 KB6/8/2019 6:24 AM
4. Forward Propagation.vtt10 KB6/8/2019 5:30 AM
5. Activation Functions.mp461,066 KB6/8/2019 6:25 AM
5. Activation Functions.vtt11 KB6/8/2019 5:30 AM
6. Training Part 1 – Loss Functions.mp459,818 KB6/8/2019 6:25 AM
6. Training Part 1 – Loss Functions.vtt11 KB6/8/2019 5:30 AM
7. Training Part 2 – Backpropagation and Gradient Descent.mp474,368 KB6/8/2019 6:25 AM
7. Training Part 2 – Backpropagation and Gradient Descent.vtt12 KB6/8/2019 5:30 AM
8. Backpropagation & Learning Rates – A Worked Example.mp4102,232 KB6/8/2019 6:26 AM
8. Backpropagation & Learning Rates – A Worked Example.vtt16 KB6/8/2019 5:30 AM
9. Regularization, Overfitting, Generalization and Test Datasets.mp4121,230 KB6/8/2019 6:28 AM
9. Regularization, Overfitting, Generalization and Test Datasets.vtt19 KB6/8/2019 5:30 AM