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Advanced Deep Learning with TensorFlow 2 and Keras - Second Edition

You're reading from  Advanced Deep Learning with TensorFlow 2 and Keras - Second Edition

Product type Book
Published in Feb 2020
Publisher Packt
ISBN-13 9781838821654
Pages 512 pages
Edition 2nd Edition
Languages
Author (1):
Rowel Atienza Rowel Atienza
Profile icon Rowel Atienza

Table of Contents (16) Chapters

Preface 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 14. Other Books You May Enjoy
15. Index

Who this book is for

The book is intended for machine learning engineers and students who would like to gain a better understanding of advanced topics in deep learning. Each discussion is supplemented with code implementation in Keras. In particular, the Keras API of TensorFlow 2 or simply tf.keras is what's used This book is for readers who would like to understand how to translate theory into working code implementation in Keras. Apart from understanding theories, code implementation is usually one of the difficult tasks in applying machine learning to real-world problems.

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