Book Content
chapters • 9h20m total length
1. Getting started with Supervised Learning
2. Neural Network fundamentals
3. Convolutional Neural Networks for image processing
4. Exploiting text embedding
5. Working with RNN
6. Reusing Neural Networks with Transfer Learning
7. Working with Generative Algorithms
8. Implementing Autoencoders
9. Working with Deep Belief Networks
10. Monte Carlo and Reinforcement Learning
11. What’s Next?
