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2018 Mar 26
Making Art with Growing Neural Gas
Article shows how to generate unique styles from any image using Growing Neural Gas (GNG). In addition, it explains how this type of neural network works and what problems user might encounter while training it on different images.
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2017 Dec 17
Create unique text-style with SOFM
Neupy's logo has been generated with a help of the neural network. This article shows the process and how it could be extended for some other text.
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2017 Dec 13
The Art of SOFM
It's quite rare that algorithm can not only extract knowledge from the data, but also produce something beautiful using exactly the same set of training rules without any modifications.
SOFM is a great example of the algorithm that can produce simple work of art when used in the right way.
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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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2015 Sep 21
Password recovery
Discrete hopfiled networks can be used to solve wide variety of problems. In this article, we try to use this type of network in order to memorizes user's password and then we try reconstruct it from partially corrupted version of this password.
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2015 Sep 20
Discrete Hopfield Network
In this article, we describe core ideas behind discrete hopfield networks and try to understand how it works. In addition, we explore main problems related to this algorithm. And finally, we take a look into simple example that aims to memorize digit patterns and reconstruct them from corrupted samples.