U$ 68,31 57,04 €
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. u003cbru003eu003cbru003eu003ciu003eGANs in Action: Deep learning with Generative Adversarial Networksu003c/iu003e teaches you how to build and train your own generative adversarial networks. First, you'll get an introduction to generative modelling and how GANs work, along with an overview of their potential uses. Then, you'll start building your own simple adversarial system, as you explore the foundation of GAN architecture: the generator and discriminator networks.u003cbru003eu003cbru003ePurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.