https://github.com/nahumsa/vae-rbm-pretraining
Implementation of a Variational Autoencoder utilizing Restricted Boltzmann Machines as Pretraining.
https://github.com/nahumsa/vae-rbm-pretraining
Last synced: 2 months ago
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Implementation of a Variational Autoencoder utilizing Restricted Boltzmann Machines as Pretraining.
- Host: GitHub
- URL: https://github.com/nahumsa/vae-rbm-pretraining
- Owner: nahumsa
- Created: 2020-03-23T22:14:19.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2020-03-30T16:39:54.000Z (about 5 years ago)
- Last Synced: 2025-02-16T10:13:38.626Z (4 months ago)
- Language: Jupyter Notebook
- Size: 10.6 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Variational Autoencoder with Restricted Boltzmann Machine pretraining
This code is base on the [repository by Jeremy Lane](https://github.co/lane203j/deep-autoencoder-with-RBM-pretraining) that makes RBM pretraining for autoencoders.
But here we will apply RBM pretraining to Variational autoencoders.