A self-organizing feature map which is trained on a random three-dimensional (RGB) input space.
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Updated
Oct 21, 2019 - C++
A self-organizing feature map which is trained on a random three-dimensional (RGB) input space.
This repository features custom implementations of Multi-Layer Perceptron (MLP) and Kohonen Self-Organizing Feature Maps (SOFM) in C++. The project provides hands-on examples of these neural network models, showcasing their application in classification, regression, and unsupervised learning.
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