PDC4S:\IT\ROBOTICS\Computer Vision Courses\Master Computer Vision OpenCV Python\13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks

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1. Neural Networks Chapter Overview.mp48,015 KB12/12/2021 3:34 AM
1. Neural Networks Chapter Overview.vtt2 KB12/12/2021 3:34 AM
10. Epochs, Iterations and Batch Sizes.mp426,739 KB12/12/2021 3:34 AM
10. Epochs, Iterations and Batch Sizes.vtt5 KB12/12/2021 3:34 AM
11. Measuring Performance and the Confusion Matrix.mp453,338 KB12/12/2021 3:34 AM
11. Measuring Performance and the Confusion Matrix.vtt9 KB12/12/2021 3:34 AM
12. Review and Best Practices.mp427,792 KB12/12/2021 3:34 AM
12. Review and Best Practices.vtt6 KB12/12/2021 3:34 AM
2. Machine Learning Overview.mp453,529 KB12/12/2021 3:34 AM
2. Machine Learning Overview.vtt53,539 KB12/12/2021 3:34 AM
3. Neural Networks Explained.mp423,913 KB12/12/2021 3:34 AM
3. Neural Networks Explained.vtt5 KB12/12/2021 3:34 AM
4. Forward Propagation.mp464,860 KB12/12/2021 3:34 AM
4. Forward Propagation.vtt10 KB12/12/2021 3:34 AM
5. Activation Functions.mp461,096 KB12/12/2021 3:34 AM
5. Activation Functions.vtt11 KB12/12/2021 3:34 AM
6. Training Part 1 Loss Functions.mp459,820 KB12/12/2021 3:34 AM
6. Training Part 1 Loss Functions.vtt11 KB12/12/2021 3:34 AM
7. Training Part 2 Backpropagation and Gradient Descent.mp474,427 KB12/12/2021 3:34 AM
7. Training Part 2 Backpropagation and Gradient Descent.vtt12 KB12/12/2021 3:34 AM
8. Backpropagation Learning Rates A Worked Example.mp4102,294 KB12/12/2021 3:34 AM
8. Backpropagation Learning Rates A Worked Example.vtt16 KB12/12/2021 3:34 AM
9. Regularization, Overfitting, Generalization and Test Datasets.mp4121,206 KB12/12/2021 3:34 AM
9. Regularization, Overfitting, Generalization and Test Datasets.vtt19 KB12/12/2021 3:34 AM