Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more, 2nd Edition
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Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more, 2nd Edition

by Rowel Atienza

Programming Computer Science artificial intelligence Machine Learning Deep Learning
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This second edition explores advanced deep learning with TensorFlow 2 and Keras. It covers GANs, VAEs, deep reinforcement learning, unsupervised learning, object detection, segmentation, and related topics for readers building knowledge of contemporary deep learning techniques.

About This Book

Advanced Deep Learning with TensorFlow 2 and Keras presents an in-depth guide to advanced deep learning topics.

The book covers deep learning applications using TensorFlow 2 and Keras, with attention to generative adversarial networks and variational autoencoders.

Additional topics include deep reinforcement learning, unsupervised learning, object detection, and image segmentation.

This second edition is intended for readers seeking broader coverage of modern deep learning methods and tools.

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I will be using this book for: