Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more, 2nd Edition
Discover advanced deep learning with TensorFlow 2 and Keras. This second edition covers GANs, VAEs, deep reinforcement learning, unsupervised learning, object detection, segmentation, and related techniques, giving readers a broad guide to contemporary deep learning concepts and applications.
About This Book
Advanced Deep Learning with TensorFlow 2 and Keras, 2nd Edition, introduces deep learning concepts and their implementation using two widely used tools.
The book covers a broad range of topics, including generative adversarial networks, variational autoencoders, deep reinforcement learning, and unsupervised learning.
It also addresses computer vision applications such as object detection and image segmentation, offering a wide-ranging perspective on modern deep learning techniques.
Written by Rowel Atienza, this edition is suited to readers seeking a practical introduction to advanced deep learning with TensorFlow 2 and Keras.
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