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Advanced Deep Learning with Keras

You're reading from Advanced Deep Learning with Keras

Product type Book

Published in Oct 2018

Publisher Packt

ISBN-13 9781788629416

Pages 368 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Rowel Atienza

Table of Contents (13) 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

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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. This book is for readers who would like to understand how to translate theory into a 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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Authors (1)

Rowel Atienza

Rowel Atienza is an Associate Professor at the Electrical and Electronics Engineering Institute of the University of the Philippines, Diliman. He holds the Dado and Maria Banatao Institute Professorial Chair in Artificial Intelligence. Rowel has been fascinated with intelligent robots since he graduated from the University of the Philippines. He received his MEng from the National University of Singapore for his work on an AI-enhanced four-legged robot. He finished his Ph.D. at The Australian National University for his contribution on the field of active gaze tracking for human-robot interaction. Rowel's current research work focuses on AI and computer vision. He dreams on building useful machines that can perceive, understand, and reason. To help make his dreams become real, Rowel has been supported by grants from the Department of Science and Technology (DOST), Samsung Research Philippines, and Commission on Higher Education-Philippine California Advanced Research Institutes (CHED-PCARI).

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