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Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more Rowel Atienza
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Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
Rowel Atienza
This book covers advanced deep learning techniques to create successful AI. Using MLPs, CNNs, and RNNs as building blocks to more advanced techniques, you'll study deep neural network architectures, Autoencoders, Generative Adversarial Networks (GANs), Variational AutoEncoders (VAEs), and Deep Reinforcement Learning (DRL) critical to many ...
368 pages
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | October 31, 2018 |
| ISBN13 | 9781788629416 |
| Publishers | Packt Publishing Limited |
| Pages | 368 |
| Dimensions | 234 × 191 × 26 mm · 630 g |
| Language | English |
![Cover for Rowel Atienza · Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more, 2nd Edition (Paperback Book) [2 Revised edition] (2020)](https://imusic.b-cdn.net/images/item/original/654/9781838821654.jpg?rowel-atienza-2020-advanced-deep-learning-with-tensorflow-2-and-keras-apply-dl-gans-vaes-deep-rl-unsupervised-learning-object-detection-and-segmentation-and-more-2nd-edition-paperback-book&class=scaled&v=1594125206)