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https://github.com/lyeoni/keras-mnist-cvae

autoencoder deep-learning generative-model keras mnist vae

Last synced: about 8 hours ago
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Host: GitHub
URL: https://github.com/lyeoni/keras-mnist-cvae
Owner: lyeoni
Created: 2018-10-19T07:58:45.000Z (about 6 years ago)
Default Branch: master
Last Pushed: 2018-10-24T07:38:30.000Z (about 6 years ago)
Last Synced: 2023-09-28T11:29:15.246Z (about 1 year ago)
Topics: autoencoder, deep-learning, generative-model, keras, mnist, vae
Language: Jupyter Notebook
Size: 871 KB
Stars: 16
Watchers: 1
Forks: 3
Open Issues: 1
Metadata Files:
- Readme: README.md

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README

# keras-mnist-CVAE
Conditional Variational AutoEncoder on the MNIST data set using the keras API

## Dependencies
- keras
- tensorflow
- numpy
- scipy
- matplotlib

## Results
- Distribution of labeled data

![alt text](https://github.com/lyeoni/keras-mnist-CVAE/blob/master/samples/digits_latent_sapce.png)

- Learned MNIST manifold (2-D latent space): change z sample on the x-axis

## Reference
1. Learning Structured Output Representation using Deep Conditional Generative Models (paper):
https://papers.nips.cc/paper/5775-learning-structured-output-representation-using-deep-conditional-generative-models