Book Content
chapters • 11h total length
1. Machine Learning Basics
2. Setting Up R for Deep Learning
3. Artificial Neural Networks
4. Convolutional Neural Networks for Image Recognition
5. Multilayer Perceptron Neural Networks for Signal Detection
6. Neural Collaborative Filtering Using Embeddings
7. Deep Learning for Natural Language Processing
8. Long Short-Term Memory Networks for Stock Forecast
9. Generative Adversarial Networks for Face Generation
10. Reinforcement Learning for gaming
11. Deep Q Learning for Maze Solving
