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Generative Adversarial Network

Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network. GANs have been shown to be powerful generative models and are able to successfully generate new data given a large enough training dataset.

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A web application that generates an image for corresponding textual description. The user is required to enter a text description of a scene. The application will then generate an image that best corresponds to this description. The application uses Generative Adversarial Networks (GANs) trained on a large dataset of images consisting of multipl…

  • Updated Dec 27, 2019
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Released June 10, 2014

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deep-learning neural-network