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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...