3. ExamplesΒΆ
- 3.1. Learning
- 3.2. XOR Multiple Inputs/Targets
- 3.3. The MNIST Dataset
- 3.4. Face Recognition
- 3.5. CIFAR10 CNN
- 3.6. Auto-encoder with Conv2D
- 3.7. Datasets
- 3.8. Plotting
- 3.9. Plotting in 3D
- 3.10. Autoencoding
- 3.11. Alice in Wonderland
- 3.12. Predicting and Generating Texts
- 3.13. Recommending Movies
- 3.14. LSTM - Long Short Term Memory
- 3.15. Activation Functions
- 3.16. Gridfonts
- 3.17. Working with Camera and Networks
- 3.18. Robot Simulation
- 3.19. Extrapolation, 1
- 3.20. Vision Quest
- 3.21. Experiments
- 3.22. Making Movies
- 3.23. PCA
- 3.24. Utilities
- 3.25. Two Spirals
- 3.26. VGG16 and ImageNet