Pruning (artificial neural network): Difference between revisions

Revision as of 11:39, 5 June 2020

Revision as of 11:41, 5 June 2020

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#Evaluate the importance of each neuron.

#Rank the neurons according to their importance (assuming there is a clearly defined measure for "importance").

#Remove the least importanceimportant neuron.

#Check a termination condition (to be determined by the user) to see whether to continue pruning.