GANs or Generative Adversarial Networks: Learn By Building One

Written by thedevtimeline | Published 2019/12/14
Tech Story Tags: neural-networks | machinelearning | artificial-intellingence | technology | python-top-story | generative-adversarial-network | hackernoon-top-story | how-to-build-a-gan-on-python

TLDR Machine learning systems have provided simple output from a complex input. Machine learning algorithms can easily recognize an apple, but if you put the same apple in a net bag, it doesn't understand what it is. In 2014, Ian Goodfellow and his colleagues at the University of Montreal in Canada developed a new machine learning system using game theory to turn this weakness into an advantage. The newly developed "Generative Adversarial Networks" can do the opposite. It can produce complex output from simple input. So the machine not only learns, but also produces!via the TL;DR App

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Published by HackerNoon on 2019/12/14