# RestrictedBoltzmannMachine

**Repository Path**: zhang_star/RestrictedBoltzmannMachine

## Basic Information

- **Project Name**: RestrictedBoltzmannMachine
- **Description**: Simple RBM used as feature extractor for classification purposes
- **Primary Language**: Unknown
- **License**: GPL-3.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-01-04
- **Last Updated**: 2021-01-04

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Restricted Boltzmann Machine demo
Here it's shown how to create an RBM and how it's possible to use it as a feature extractor. Hidden units' probabilities will be used as input for a simple classifier.

During the training of the RBM we can see how the ability to reproduce the original image changes epoch after epoch:

<p align="center">
  <img src="image_replication_.gif"/>
</p>