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

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Link to my jupyter notebook:

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