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
| Format: | eBook |
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| Language: | English |
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[Place of publication not identified]
Manning Publications
2021
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| Edition: | [First edition] |
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| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | 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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| Physical Description: | 1 video file (1 min.) sound, color |