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Generative Adversarial Networks Projects

You're reading from   Generative Adversarial Networks Projects Build next-generation generative models using TensorFlow and Keras

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789136678
Length 316 pages
Edition 1st Edition
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Author (1):
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Kailash Ahirwar Kailash Ahirwar
Author Profile Icon Kailash Ahirwar
Kailash Ahirwar
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Table of Contents (11) Chapters Close

Preface 1. Introduction to Generative Adversarial Networks 2. 3D-GAN - Generating Shapes Using GANs FREE CHAPTER 3. Face Aging Using Conditional GAN 4. Generating Anime Characters Using DCGANs 5. Using SRGANs to Generate Photo-Realistic Images 6. StackGAN - Text to Photo-Realistic Image Synthesis 7. CycleGAN - Turn Paintings into Photos 8. Conditional GAN - Image-to-Image Translation Using Conditional Adversarial Networks 9. Predicting the Future of GANs 10. Other Books You May Enjoy

Setting up the project

If you haven't already cloned the repository with the complete code for all the chapters, clone the repository now. The cloned repository has a directory called Chapter03, which contains the entire code for this chapter. Execute the following commands to set up the project:

  1. Start by navigating to the parent directory, as follows:
cd Generative-Adversarial-Networks-Projects
  1. Now, change the directory from the current directory to Chapter03:
cd Chapter03
  1. Next, create a Python virtual environment for this project:
virtualenv venv
virtualenv venv -p python3 # Create a virtual environment using python3 interpreter
virtualenv venv -p python2 # Create a virtual environment using python2 interpreter

We will be using this newly created virtual environment for this project. Each chapter has its own separate virtual environment.

  1. Next, activate the newly created...
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