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models/autoencoder/autoencoder_models/VariationalAutoencoder.py
In the Variational Autoencoder model, there seems to be no hidden layer and no non-linearity. I may be mistaken but If this is the case…
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The 6th session will be held on 2016/11/11.
Voting period for this session ends up on 2016/11/6.
We can vote/recommend papers in #3
@zyq40137 can present the paper "Variational Autoencoder for Deep L…
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Is there any known workaround for using `conv2d_tranpose` in keras.js? (which doesn't look like it is supported?)
edit: apparently deconv2d is the same as conv2d_tranpose in keras
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# How to recommend
We can recommend some papers for further discussion under this issue. Include a link to the paper + the conference name and other related information (like the abstract, some basic…
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On the follwing environment:
Linux Debian 8.5 (linux 3.16.7)
CUDA 7.5.18
CuDNN 5.1
I tried to run the code on https://github.com/musyoku/variational-autoencoder
M1/train.py works fine, but M1/visuali…
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For some networks, especially Variational Autoencoders, there can be significant differences between the training-time network and the testing-time network. Hence, I propose that we add a "phase" fla…
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Hi,
First off - thanks for releasing TensorFlow. It is immensely helpful in many ways (e.g. getting it working on my GPU was a breeze). However, because of its novelty I'm running into a problem I ca…
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Hi!
First of all, thanks for the tutorials, I could pick up tensorflow really fast because of them!
I was running the variational autoencoder example (11_variational_autoencoder.py) and noticed that…
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@fchollet , @farizrahman4u, @phreeza and others, here I wrote a variational layer for variational autoencoders or just a new type of regularization (that is better than plain L2 btw):
https://github.c…
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Hi Matt,
I'm not sure if this is right place to ask question about your paper?
But anyway, I implemented a version of latent Gaussain Mixture model (normal-gamma prior for the gaussian). I found tha…
Nat-D updated
7 years ago