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Hands-On Generative Adversarial Networks with Keras

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  • 272pages
  • 10 heures de lecture

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This book will explore deep learning and generative models, and their applications in artificial intelligence. You will learn to evaluate and improve your GAN models by eliminating challenges that are encountered in real-world applications. You will implement GAN architectures in various domains such as computer vision, NLP, and audio processing

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Hands-On Generative Adversarial Networks with Keras, Rafael Valle

Langue
Année de publication
2019
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