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You're reading from  Generative Adversarial Networks Projects

Product typeBook
Published inJan 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789136678
Edition1st Edition
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Author (1)
Kailash Ahirwar
Kailash Ahirwar
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Kailash Ahirwar

Kailash Ahirwar is a machine learning and deep learning enthusiast. He has worked in many areas of Artificial Intelligence (AI), ranging from natural language processing and computer vision to generative modeling using GANs. He is a co-founder and CTO of Mate Labs. He uses GANs to build different models, such as turning paintings into photos and controlling deep image synthesis with texture patches. He is super optimistic about AGI and believes that AI is going to be the workhorse of human evolution.
Read more about Kailash Ahirwar

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Setting up a project

The source code for the project is available on GitHub at the following link: https://github.com/PacktPublishing/Generative-Adversarial-Networks-Projects.

Run the following commands to set up the project:

  1. Start by navigating to the parent directory, as follows:
cd Generative-Adversarial-Networks-Projects
  1. Next, change directory from the current directory to the Chapter02 directory:
cd Chapter02
  1. Next, create a Python virtual environment for this project:
virtualenv venv
  1. After that, activate the virtual environment:
source venv/bin/activate
  1. Finally, install all the requirements that are indicated in the requirements.txt file:
pip install -r requirements.txt

We have now successfully set up the project. For more information, refer to the README.md file included with the code repository.

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Generative Adversarial Networks Projects
Published in: Jan 2019Publisher: PacktISBN-13: 9781789136678

Author (1)

author image
Kailash Ahirwar

Kailash Ahirwar is a machine learning and deep learning enthusiast. He has worked in many areas of Artificial Intelligence (AI), ranging from natural language processing and computer vision to generative modeling using GANs. He is a co-founder and CTO of Mate Labs. He uses GANs to build different models, such as turning paintings into photos and controlling deep image synthesis with texture patches. He is super optimistic about AGI and believes that AI is going to be the workhorse of human evolution.
Read more about Kailash Ahirwar