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























