Data Science Asked by Schach21 on April 26, 2021
I am trying to train a Variational Autoencoder (VAE) to learn a curve, $f_1(x)=x^2+omega$. It can learn it to a great accuracy, but the problem is that once is trained, for any input to the encoder, the decoder will always output $x^2$. In particular, when training it seems the decoder just learns how to map any input to $x^2$, so the problem seems to be in the decoder, but I am not sure how to solve it. Has anyone experienced this problem? I’d appreciate any suggestion or idea on how to solve this issue.
Get help from others!
Recent Answers
Recent Questions
© 2024 TransWikia.com. All rights reserved. Sites we Love: PCI Database, UKBizDB, Menu Kuliner, Sharing RPP