Meeting on 2018-02-13 (Sebastian Nowozin, Microsoft)

We were shown the mathematical approach to GANs (generative adversarial networks), and the algorithmic approach. GANs are notorious for being hard to train, but by understanding the two approaches together it becomes clear how to train them properly.

Also, a plug for the AI residency at Microsoft Research Cambridge.


talks.cam.ac.uk listing