GANs in Action
Deep learning with Generative Adversarial Networks
Ranked #32 in Computer Vision
Deep learning systems have gotten really great at identifying patterns in text, images, and video. But applications that create realistic images, natural sentences and paragraphs, or native-quality translations have proven elusive. Generative Adversarial Networks, or GANs, offer a promising solution to these challenges by pairing two competing neural networks' one that generates content and the other that rejects samples that are of poor quality.
GANs in Action: Deep learning with Generative Adversarial Networks teaches you how to build and train your own generative... more
GANs in Action: Deep learning with Generative Adversarial Networks teaches you how to build and train your own generative... more
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