GSI Technology, Inc.
DISTANCE BASED DEEP LEARNING

Abstract:

A method for a neural network includes concurrently calculating a distance vector between an output feature vector describing an unclassified item and each of a plurality of qualified feature vectors, each describing one classified item out of a collection of classified items. The method includes concurrently computing a similarity score for each distance vector and creating a similarity score vector of the plurality of computed similarity scores. A system for a neural network includes an associative memory array, an input arranger, a hidden layer computer and an output handler. The input arranger manipulates information describing an unclassified item stored in the memory array. The hidden layer computer computes a hidden layer vector. The output handler computes an output feature vector and concurrently calculates a distance vector between an output feature vector and each of a plurality of qualified feature vectors, and concurrently computes a similarity score for each distance vector.