https://github.com/ttiagojm/dbn-tf2
Deep Belief Networks in Tensorflow 2
https://github.com/ttiagojm/dbn-tf2
convolutional-rbm crbm deep-belief-network generative-model rbm restricted-boltzmann-machine tensorflow2
Last synced: 3 months ago
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Deep Belief Networks in Tensorflow 2
- Host: GitHub
- URL: https://github.com/ttiagojm/dbn-tf2
- Owner: ttiagojm
- License: mit
- Created: 2022-08-15T04:38:39.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-01-25T12:07:39.000Z (over 1 year ago)
- Last Synced: 2025-01-06T07:23:18.566Z (4 months ago)
- Topics: convolutional-rbm, crbm, deep-belief-network, generative-model, rbm, restricted-boltzmann-machine, tensorflow2
- Language: Python
- Homepage:
- Size: 141 KB
- Stars: 2
- Watchers: 2
- Forks: 1
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# DBN-TF2
Deep Belief Networks for image reconstruction in Tensorflow 2.
## Convolutional Restricted Boltzman Machine
`DBN/crbm.py` file contains the class where all logic and training code was implemented
The code for CRBM was adapted from [this](https://github.com/arthurmeyer/Convolutional_Deep_Belief_Network) repository. However, it's not being used the max pooling output, since we want to keep the spatial dimensions of the images.
## Discrete Restricted Boltzman Machine
`DBN/RBM/rbm.py` file contains the class where all logic and training code was implemented
Is not being used and the codes needs to be adapted for the new implementation of DBN