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[D] An Introduction to Virtual Adversarial Training

Virtual Adversarial Training is an effective regularization technique which has given good results in supervised learning, semi-supervised learning, and unsupervised clustering. In this article, I give an overview of the technique and also dive into the implementation.

https://divamgupta.com/unsupervised-learning/semi-supervised-learning/2019/05/31/introduction-to-virtual-adversarial-training.html

Link to my jupyter notebook:

https://gist.github.com/divamgupta/c778c17459c1f162e789560d5e0b2f0b

submitted by /u/svufzafa
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.