Self-Organizing Maps for Machine Learning Algorithms

AsideJune 26, 2018June 26, 2018 Navdeep SinghLeave a comment

In this article, you’ll be introduced to the concept of self-organizing maps (SOMs) and presented with a model called a Kohonen network, which will be able to map the input patterns onto a surface, where some attractors (one per class) are placed through a competitive learning process. Such a model will be able to recognise new patterns […]

Machine Learning Algorithms for semantic segmentation

AsideMay 30, 2018May 30, 2018 Navdeep Singh1 Comment

This guest post by Rajalingappaa Shanmugamani, the author of Deep Learning for Computer Vision, takes you through three important algorithms for semantic segmentation. There are several deep learning-based algorithms to solve image segmentation tasks. The sliding window approach can be applied at a pixel level for segmentation. This approach takes an image and breaks it […]

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Self-Organizing Maps for Machine Learning Algorithms

Machine Learning Algorithms for semantic segmentation