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

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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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Ahirwar, Kailash
Format: Électronique eBook
Langue:Inglés
Publié: Birmingham : Packt Publishing Ltd, 2019.
Sujets:
Accès en ligne:Texto completo
Description
Résumé: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.
Description:Training the DCGAN
Description matérielle:1 online resource (310 pages)
Bibliographie:Includes bibliographical references.
ISBN:9781789134193
1789134196