https://github.com/lyeoni/keras-mnist-cvae
https://github.com/lyeoni/keras-mnist-cvae
autoencoder deep-learning generative-model keras mnist vae
Last synced: 8 months ago
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- Host: GitHub
- URL: https://github.com/lyeoni/keras-mnist-cvae
- Owner: lyeoni
- Created: 2018-10-19T07:58:45.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-10-24T07:38:30.000Z (over 7 years ago)
- Last Synced: 2025-04-07T05:35:45.193Z (12 months ago)
- Topics: autoencoder, deep-learning, generative-model, keras, mnist, vae
- Language: Jupyter Notebook
- Size: 871 KB
- Stars: 16
- Watchers: 0
- Forks: 3
- Open Issues: 1
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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
- 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