Content deleted Content added
After a couple hours of trying to read and improve this article, I'm convinced that although it has much useful content, it is nearly unreadable because of a mixture of highly-technical jargon and informal text. |
Rate this artice C-class. |
||
Line 81:
:I agree p_theta(z) doesn't make sense. [[User:EitanPorat|EitanPorat]] ([[User talk:EitanPorat|talk]]) 00:17, 19 March 2023 (UTC)
== Rating this article C-class ==
This article has great potential. Excellent technical content. But I just rated it "C" because it seems to have gained both content and noise over the past six months. I've tried for a couple of hours to improve the clarity of the central idea of a VAE, but I'm not satisfied with my efforts. In particular, it is still unclear to me whether both the encoder and decoder are technically random, whether any randomness should be added in the decoder, or what (beyond Z) is modeled with a multimodal Gaussian in the basic VAE. I see no reason why this article should not be accessible both to casual readers and to the technically proficient, but we are far from there yet.
In particular, the introductory figure shows x being mapped to a gaussian figure and back to x'. It would be good to explicitly state how the encoder and decoder in this figure relate to the various distributions used throughout the article, but I'm not confident on how to do so. [[User:Yoderj|Yoderj]] ([[User talk:Yoderj|talk]]) 19:25, 15 March 2024 (UTC)
| |||