Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras
Author:   Kailash Ahirwar
Publisher:   Packt Publishing Limited
ISBN:  

9781789136678


Pages:   316
Publication Date:   31 January 2019
Format:   Paperback
Availability:   Available To Order   Availability explained
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Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras


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Author:   Kailash Ahirwar
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781789136678


ISBN 10:   1789136679
Pages:   316
Publication Date:   31 January 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Introduction to Generative Adversarial Networks 3D-GAN - Generating Shapes Using GANs Face Aging Using Conditional GAN Generating Anime Characters Using DCGANs Using SRGANs to Generate Photo-Realistic Images StackGAN- Text to Photo-Realistic Image Synthesis CycleGAN- Turn Paintings into Photos Conditional GAN - Image-to-Image Translation Using Conditional Adversarial Networks Predicting the Future of GANs

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Author Information

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.

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