Archives for self organising neural networks
A self-organizing map is also known as SOM and it was proposed by Kohonen. It is an unsupervised neural network that is trained using unsupervised learning techniques to produce a low dimensional, discretized representation from the input space of the training samples, known as a map and is, therefore, a method to reduce data dimensions.
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A healthy child’s brain under development is capable of adding nearly 250,000 neurons every minute! At birth, a brain has almost all the neurons that it will ever have. The brain continues to grow for a few years after a person is born and by the age of 2 years old. Thanks to the glial…
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