AI News, BOOK REVIEW: Difference between revisions of "Artificial Neural Networks/Competitive Learning"

Difference between revisions of "Artificial Neural Networks/Competitive Learning"

Competitive learning is a rule based on the idea that only one neuron from a given iteration in a given layer will fire at a time.

The “winner” of each iteration, element i* , is the element whose total weighted input is the largest.

Neurons become trained to be individual feature detectors, and a combination of feature detectors can be used to identify large classes of features from the input space.

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