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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

By: Material type: TextTextPublication details: Mumbai Packet 2020Edition: 2nd EdDescription: xi, 491pISBN:
  • 9781838821654
Subject(s): DDC classification:
  • 006.31 ATI/A
Contents:
1 Introducing Advanced Deep Learning with Keras 2 Deep Neural Networks 3 Autoencoders 4 Generative Adversarial Networks (GANs) 5 Improved GANs 6 Disentangled Representation GANs 7 Cross-Domain GANs 8 Variational Autoencoders (VAEs) 9 Deep Reinforcement Learning 10 Policy Gradient Methods 11 Object Detection 12 Semantic Segmentation 13 Unsupervised Learning Using Mutual Information
Summary: A second edition of the bestselling guide to exploring and mastering deep learning with Keras, updated to include TensorFlow 2.x with new chapters on object detection, semantic segmentation, and unsupervised learning using mutual information
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1 Introducing Advanced Deep Learning with Keras
2 Deep Neural Networks
3 Autoencoders
4 Generative Adversarial Networks (GANs)
5 Improved GANs
6 Disentangled Representation GANs
7 Cross-Domain GANs
8 Variational Autoencoders (VAEs)
9 Deep Reinforcement Learning
10 Policy Gradient Methods
11 Object Detection
12 Semantic Segmentation
13 Unsupervised Learning Using Mutual Information

A second edition of the bestselling guide to exploring and mastering deep learning with Keras, updated to include TensorFlow 2.x with new chapters on object detection, semantic segmentation, and unsupervised learning using mutual information

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