Book Content
chapters • 12h16m total length
1. Introducing Advanced Deep Learning with Keras
2. Deep Neural Networks
3. Autoencoders
4. Generative Adversarial Network (GANs)
5. Improved GANs
6. Disentangled Representation GANs
7. Cross-Domain GANs
8. Variational Autoencoders (VAEs)
9. Deep Reinforcement Learning
10. Policy Gradient Methods














