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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.
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2016 Nov 12
Image classification, MNIST digits
This short tutorial shows how to design and train simple network for digit classification in NeuPy.