Generative Adversarial Networks Projects : Build Next-Generation Generative Models Using TensorFlow and Keras.

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In this book, we will use different complexities of datasets in order to build end-to-end projects. With every chapter, the level of complexity and operations will become advanced. It consists of 8 full-fledged projects covering approaches such as 3D-GAN, Age-cGAN, DCGAN, SRGAN, StackGAN, and CycleG...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Ahirwar, Kailash
Format: Electronic eBook
Language:Inglés
Published: Birmingham : Packt Publishing Ltd, 2019.
Subjects:
Machine learning.
Neural networks (Computer science)
Artificial intelligence.
Neural Networks, Computer
Artificial Intelligence
Apprentissage automatique.
Réseaux neuronaux (Informatique)
Intelligence artificielle.
artificial intelligence.
Mathematical theory of computation.
COMPUTERS > General.
Online Access:Texto completo
Description
Summary:In this book, we will use different complexities of datasets in order to build end-to-end projects. With every chapter, the level of complexity and operations will become advanced. It consists of 8 full-fledged projects covering approaches such as 3D-GAN, Age-cGAN, DCGAN, SRGAN, StackGAN, and CycleGAN with real-world use cases.
Item Description:Training the DCGAN
Physical Description:1 online resource (310 pages)
Bibliography:Includes bibliographical references.
ISBN:9781789134193
1789134196

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