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In keras example imdb_lstm.py:
random_binomial NotImplementedError
In keras example convolution_lstm.py:
mxnet.base.MXNetError: value 0 for Parameter num_outputs should be greater equal to 1, in …
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Never mind: I see there was a recent pull request that resolved this issue.
I am using Keras version 1.0.5 with Python3. Using the variational autoencoder example found here: [https://raw.githubuserc…
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I am building a model using the Functional API and require a custom layer for a bias term. I have attempted to implement a custom layer called Bias which outputs a vector of length output_dim.
…
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This is great stuff!
The README.md mentioned that there is a plan to support variational autoencoder, which I very much look forward to. My understanding is that the vanilla VAE tends to create bl…
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I modified the example from the documentation for variational autoencoder in the website:
https://blog.keras.io/building-autoencoders-in-keras.html,
hoping to use more layers.
But it comple…
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I'm very excited to see this project here -- I've been wondering about this technique ever since reading the paper!
I'm encountering a problem when I try to run `main.py.` It completes the first ep…
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When running the example from https://github.com/fchollet/keras/blob/master/examples/variational_autoencoder.py
in a system with GPU. It cannot be compiled. But when I run it in CPU mode, it works…
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1. Introduction to Tensorflow framework.
2. Basic neural network model using Tensorflow.
3. Introduction to Autoencoders and RBM.
4. Recent success in Unsupervised Learning with Generative Models f…
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Hello,
Can you explain the way you calculated KLLoss in VAE? Isn't this a KL Divergence?
Thanks.
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Hi,
It seems my installation process finishes without problem, nonetheless, the simple import is spitting errors. I tested just installing c++ as well (cmake without -DPYTHON=`which python` ). Bot…