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Generative Adversarial Networks Projects

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  • 316 Seiten
  • 12 Lesestunden

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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 CycleGAN with real-world use cases.

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Generative Adversarial Networks Projects, Kailash Ahirwar

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Erscheinungsdatum
2018
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