Hands-On Generative Adversarial Networks with Pytorch 1. x : Implement Next-Generation Neural Networks to Build Powerful GAN Models Using Python.

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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
Clasificación:Libro Electrónico
Autor principal: Hany, John
Otros Autores: Walters, Greg
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, Limited, 2019.
Temas:
Python.
Mathematical theory of computation.
Machine learning.
Human-computer interaction.
Neural networks & fuzzy systems.
Computers > Machine Theory.
Computers > Social Aspects > Human-Computer Interaction.
Computers > Neural Networks.
Machine learning
Natural language processing (Computer science)
Neural networks (Computer science)
Python (Computer program language)
Acceso en línea:Texto completo
Texto completo
Descripción
Sumario: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.
Descripción Física:1 online resource (301 pages)
ISBN:9781789534283
1789534283

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