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Generative Adversarial Networks Cookbook

You're reading from  Generative Adversarial Networks Cookbook

Product type Book
Published in Dec 2018
Publisher Packt
ISBN-13 9781789139907
Pages 268 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Josh Kalin Josh Kalin
Profile icon Josh Kalin
LinkedIn
Josh Kalin is a Physicist and Technologist focused on the intersection of robotics and machine learning. Josh works on advanced sensors, industrial robotics, machine learning, and automated vehicle research projects. Josh holds degrees in Physics, Mechanical Engineering, and Computer Science. In his free time, he enjoys working on cars (has owned 36 vehicles and counting), building computers, and learning new techniques in robotics and machine learning (like writing this book).
See other products by Josh Kalin

Table of Contents (17) Chapters

Title Page
Copyright and Credits
About Packt
Dedication
Contributors
Preface
Dedication2
1. What Is a Generative Adversarial Network? 2. Data First, Easy Environment, and Data Prep 3. My First GAN in Under 100 Lines 4. Dreaming of New Outdoor Structures Using DCGAN 5. Pix2Pix Image-to-Image Translation 6. Style Transfering Your Image Using CycleGAN 7. Using Simulated Images To Create Photo-Realistic Eyeballs with SimGAN 8. From Image to 3D Models Using GANs 1. Other Books You May Enjoy Index

Appendix 1. Other Books You May Enjoy

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

Deep Learning with TensorFlow - Second Edition Giancarlo Zaccone, Md. Rezaul Karim

ISBN: 9781788831109

  • Apply deep machine intelligence and GPU computing with TensorFlow
  • Access public datasets and use TensorFlow to load, process, and transform the data
  • Discover how to use the high-level TensorFlow API to build more powerful applications
  • Use deep learning for scalable object detection and mobile computing
  • Train machines quickly to learn from data by exploring reinforcement learning techniques
  • Explore active areas of deep learning research and applications

Keras Deep Learning Cookbook Rajdeep Dua, Manpreet Singh Ghotra, Manpreet Singh Ghotra, Recommended for You , Manpreet Singh Ghotra, Recommended for You , Learning

ISBN: 9781788621755

  • Install and configure Keras in TensorFlow
  • Master neural network programming using the Keras library 
  • Understand the different Keras layers 
  • Use Keras to implement simple feed-forward neural networks, CNNs and RNNs
  • Work with various datasets and models used for image and text classification
  • Develop text summarization and reinforcement learning models using Keras
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Authors (1)

Profile icon Josh Kalin
LinkedIn
Josh Kalin is a Physicist and Technologist focused on the intersection of robotics and machine learning. Josh works on advanced sensors, industrial robotics, machine learning, and automated vehicle research projects. Josh holds degrees in Physics, Mechanical Engineering, and Computer Science. In his free time, he enjoys working on cars (has owned 36 vehicles and counting), building computers, and learning new techniques in robotics and machine learning (like writing this book).
See other products by Josh Kalin

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