October 2018
Beginner
362 pages
9h 32m
English
Content preview from Hands-On Artificial Intelligence for Beginners
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Autoencoders
Autoencoders, and their encoder/decoder frameworks, are the inspiration behind generative models. They are a self-supervised technique for representation learning, where our network learns about its input so that it may generate new data just as input. In this section, we'll learn about their architecture and uses as an introduction to the generative networks that they inspire.
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