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PyData Tel Aviv Meetup: Generative Adversarial Networks - Victoria Mazo

1,906 views · Published 14 May 2017 · 32:42 · Indexed 31 October 2026

Channel: PyData · 2017 · Science & Technology

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PyData Tel Aviv Meetup: Victoria Mazo | Generative Adversarial Networks

PyData Tel Aviv Meetup #3
5 April 2017
Sponsored and hosted by Taboola
https://www.meetup.com/PyData-Tel-Aviv/

Generative Adversarial Networks (GANs) are a promising framework for unsupervised learning. GANs consist of a generator and a discriminator, which learn together by pursuing competing goals. From a conceptual perspective, adversarial training is fascinating because it bypasses the need of loss functions in learning, and opens the door to new ways of regularizing (as well as fooling or attacking) learning machines. In this talk GANs basics are explained and a lot of examples of their usage are provided.

code: https://github.com/carpedm20/DCGAN-tensorflow/blob/master/model.py

presentation: https://github.com/victoriamazo/victoriamazo.github.io/raw/master/GANs.pptx

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