Advanced Deep Learning with TensorFlow 2 and Keras

Table of Contents

1. Introducing Advanced Deep Learning with Keras
2. Deep Neural Networks
3. Autoencoders
4. Generative Adversarial Networks (GANs)
5. Improved GANs
6. Disentangled Representation GANs
7. Cross-Domain GANs
8. Variational Autoencoders (VAEs)
9. Deep Reinforcement Learning
10. Policy Gradient Methods
11. Object Detection
12. Semantic Segmentation
13. Unsupervised Learning Using Mutual Information