© Mathew Salvaris, Danielle Dean, Wee Hyong Tok 2018
Mathew Salvaris, Danielle Dean and Wee Hyong TokDeep Learning with Azurehttps://doi.org/10.1007/978-1-4842-3679-6_8

8. Generative Adversarial Networks

Mathew Salvaris1 , Danielle Dean2 and Wee Hyong Tok3
(1)
London, UK
(2)
Westford, Massachusetts, USA
(3)
Redmond, Washington, USA
 

For many AI projects, deep learning techniques are increasingly being used as the building blocks for innovative solutions ranging from image classification to object detection, image segmentation, image similarity, and text analytics (e.g., sentiment analysis, key phrase extraction). GANs, first introduced by Goodfellow et al. (2014), are emerging as a powerful new approach toward teaching computers how to do complex tasks ...

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