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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

Introduction

There are a few modern techniques for converting 2D images into 3D models and this chapter seeks to simplify those into easy-to-understand techniques. This chapter will cover recipes that encode 2D images into a latent space-like representation, 3D convolutions for learning on 3D data, and visualization of those results.

 

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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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