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

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