Great Article! Thanks!

You seem to have a typo in your JS_{\pi} definition .. the first part should be multiplied with $(1 - \pi)$, and the second with $\pi$, instead of the other way round.

thanks

Great set of articles!

Just a quick comment, it seems P and Q are reversed in the parameterised JS divergence; am I mistaken?

Great!! This article really help me to improve my intuition about GAN. This page should be cited and recommended at some official webpage, such as tensorflow.org

Thank you for the nice article! I learned a lot about the nature of GAN from this.
BTW I think there is a typo in JSD[P||Q] = JSD[P||Q]. Maybe you meant JSD[P||Q] = JSD[Q||P]?

Hi Ferenc:

Thanks a lot for the articulated blog.

I was wondering if it is possible to share the code you had used to make the Figure 1? I assume it is an updated version of what Theis has done in "A note on the evaluation of generative models"?

Many thanks!

Hey, your link http://bethgelab.org/media/... does not work anymore. Could you tell me the name of the paper? Also, some of your equations do not render properly for some reason.

Ah, thanks for reminding, that link's been broken for ages (an extra _ at the end of the filename). Here it is: http://bethgelab.org/media/...
And here's a link to arxiv: https://arxiv.org/abs/1511....