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Convolutional Self-Organising Maps

Home Page: http://www.neuroinformatics.eu/alexander/papers/gepperth2018b.pdf

Python 100.00%
convolutional-neural-networks self-organizing-map convolutional-som

convolutional_self-organising-maps's Introduction

Convolutional_Self-Organising-Maps

A code wise implementation of Convolutional Self-Organising maps

Dataset used - MNIST dataset. (Please download it from the original website - http://yann.lecun.com/exdb/mnist/)

Main code file - final_SOM.py

Steps to follow -

  1. python final_SOM.py
  2. python visWeights.py som.npz 1 10 10 28 3
  3. Finally view the w.png file to observe the results

Please refer and cite the following paper:

An energy-based convolutional SOM model with self-adaptation capabilities A Gepperth, A Sarkar, T Kopinski - International Conference on Artificial Neural Networks, 2018

(Link to Paper- www.neuroinformatics.eu/alexander/papers/gepperth2018b.pdf)

convolutional_self-organising-maps's People

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