Hands-on generative adversarial networks with PyTorch 1.x: implement next-generation neural networks to build powerful GAN models using Python

This book will help you understand how GANs architecture works using PyTorch. You will get familiar with the most flexible deep learning toolkit and use it to transform ideas into actual working codes. You will apply GAN models to areas like computer vision, multimedia and natural language processin...

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Detalles Bibliográficos
Autores principales: Hany, John, Walters, Greg
Lenguaje:eng
Publicado: Packt Publishing 2019
Materias:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/2716499
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author Hany, John
Walters, Greg
author_facet Hany, John
Walters, Greg
author_sort Hany, John
collection CERN
description This book will help you understand how GANs architecture works using PyTorch. You will get familiar with the most flexible deep learning toolkit and use it to transform ideas into actual working codes. You will apply GAN models to areas like computer vision, multimedia and natural language processing using a sample-generation perspective.
id cern-2716499
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
publisher Packt Publishing
record_format invenio
spelling cern-27164992021-04-21T18:09:00Zhttp://cds.cern.ch/record/2716499engHany, JohnWalters, GregHands-on generative adversarial networks with PyTorch 1.x: implement next-generation neural networks to build powerful GAN models using PythonComputing and ComputersThis book will help you understand how GANs architecture works using PyTorch. You will get familiar with the most flexible deep learning toolkit and use it to transform ideas into actual working codes. You will apply GAN models to areas like computer vision, multimedia and natural language processing using a sample-generation perspective.Packt Publishingoai:cds.cern.ch:27164992019
spellingShingle Computing and Computers
Hany, John
Walters, Greg
Hands-on generative adversarial networks with PyTorch 1.x: implement next-generation neural networks to build powerful GAN models using Python
title Hands-on generative adversarial networks with PyTorch 1.x: implement next-generation neural networks to build powerful GAN models using Python
title_full Hands-on generative adversarial networks with PyTorch 1.x: implement next-generation neural networks to build powerful GAN models using Python
title_fullStr Hands-on generative adversarial networks with PyTorch 1.x: implement next-generation neural networks to build powerful GAN models using Python
title_full_unstemmed Hands-on generative adversarial networks with PyTorch 1.x: implement next-generation neural networks to build powerful GAN models using Python
title_short Hands-on generative adversarial networks with PyTorch 1.x: implement next-generation neural networks to build powerful GAN models using Python
title_sort hands-on generative adversarial networks with pytorch 1.x: implement next-generation neural networks to build powerful gan models using python
topic Computing and Computers
url http://cds.cern.ch/record/2716499
work_keys_str_mv AT hanyjohn handsongenerativeadversarialnetworkswithpytorch1ximplementnextgenerationneuralnetworkstobuildpowerfulganmodelsusingpython
AT waltersgreg handsongenerativeadversarialnetworkswithpytorch1ximplementnextgenerationneuralnetworkstobuildpowerfulganmodelsusingpython

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