Playing with GANs building, coding, and modifying deep learning GAN models
Edward explains what are Generative Adversarial Networks (GANs) and demonstrates how to play with GANs by modifying a GAN implementation for new tasks and losses. He's the author of Inside Deep Learning: Math, Algorithms, Models.
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| Formato: | Video |
| Idioma: | Inglés |
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[Place of publication not identified] :
Manning Publications
2021.
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| Edición: | [First edition] |
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009820371406719 |
| Sumario: | Edward explains what are Generative Adversarial Networks (GANs) and demonstrates how to play with GANs by modifying a GAN implementation for new tasks and losses. He's the author of Inside Deep Learning: Math, Algorithms, Models. |
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| Descripción Física: | 1 online resource (1 video file (1 min.)) : sound, color |
