3. Examples

• 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. VirtualDatasets
• 3.9. Plotting
• 3.10. Plotting in 3D
• 3.11. Autoencoding
• 3.12. Alice in Wonderland
• 3.13. Predicting and Generating Texts
• 3.14. Recommending Movies
• 3.15. LSTM - Long Short Term Memory
• 3.16. Activation Functions
• 3.17. Gridfonts
• 3.18. Working with Camera and Networks
• 3.19. Robot Simulation
• 3.20. Extrapolation, 1
• 3.21. Vision Quest
• 3.22. Experiments
• 3.23. Making Movies
• 3.24. PCA
• 3.25. Two Spirals
• 3.26. VGG16 and ImageNet