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Hi,Thanks for the reply. I have looked that website and those are just the default examples. What I mean is, is the a GMM equivalent for vae, something that is more advanced, not that VAE in that page because those uses the standard normal prior.--On Wednesday, July 21, 2021 at 11:03:53 AM UTC+8 spsay...@gmail.com wrote:On Wed, Jul 21, 2021 at 8:24 AM Henry Miller <henrymiller....@gmail.com> wrote:Hi, does anyone know if there is any GMM version of VAE model in keras, preferably a notebook version? What I am looking for is something similar to this:https://blog.keras.io/building-autoencoders-in-keras.htmlWhat I am trying to do is to replace the standard prior normal with a Gaussian Mixture but I am not sure how to modify that code to acommodate this. I have looked at other reference codes but there are not robust enough to generate arbitrary datasets. Thanks!!--
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