Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Advanced Deep Learning with TensorFlow 2 and Keras

You're reading from   Advanced Deep Learning with TensorFlow 2 and Keras Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more

Arrow left icon
Product type Paperback
Published in Feb 2020
Publisher Packt
ISBN-13 9781838821654
Length 512 pages
Edition 2nd Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Rowel Atienza Rowel Atienza
Author Profile Icon Rowel Atienza
Rowel Atienza
Arrow right icon
View More author details
Toc

Table of Contents (16) Chapters Close

Preface 1. Introducing Advanced Deep Learning with Keras 2. Deep Neural Networks FREE CHAPTER 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

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Deep Learning with TensorFlow 2 and Keras - Second Edition

Antonio Gulli, Amita Kapoor, Sujit Pal

ISBN: 978-1-83882-341-2

  • Build machine learning and deep learning systems with TensorFlow 2 and the Keras API
  • Use Regression analysis, the most popular approach to machine learning
  • Understand ConvNets (convolutional neural networks) and how they are essential for deep learning systems such as image classifiers
  • Use GANs (generative adversarial networks) to create new data that fits with existing patterns
  • Discover RNNs (recurrent neural networks) that can process sequences of input intelligently, using one part of a sequence to correctly interpret another
  • Apply deep learning to natural human language and interpret natural language texts to produce an appropriate response
  • Train your models on the cloud and put...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image