NeuPy

Neural Networks in Python

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  • 2017 Dec 09 Self-Organizing Maps and Applications

    Self-Organizing Feature Map (SOFM or SOM) is a simple algorithm for unsupervised learning. It can be applied to solve vide variety of problems. It quite good at learning topological structure of the data and it can be used for visualizing deep neural networks.

    This article explains how SOFM works and shows different applications where it can be used.


    Tags: sofm, deep learning, image recognition, unsupervised, visualization, clustering

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pip install neupy

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