Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more

Understanding and coding advanced deep learning algorithms with the most intuitive deep learning library in existence

Key Features

• Explore the most advanced deep learning techniques that drive modern AI results
• Implement deep neural networks, autoencoders, GANs, VAEs, and deep reinforcement learning
• A wide study of GANs, including Improved GANs, Cross-Domain GANs, and Disentangled Representation GANs

Book Description

Recent developments in deep learning, including Generative Adversarial Netwo...