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Generative adversarial networks cookbook: over 100 recipes to build generative models using Python, TensorFlow, and Keras
Generative Adversarial Networks have opened up many new possibilities in the machine learning domain. This book is all you need to implement different types of GANs using TensorFlow and Keras, in order to provide optimized and efficient deep learning solutions.
Autor principal: | Kalin, Josh |
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Lenguaje: | eng |
Publicado: |
Packt Publishing
2018
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2667828 |
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