High efficiency learning network

Details High efficiency learning network High efficiency learning network

G - Physics

06

F

G06F 15/18 (2006.01) G06N 3/063 (2006.01)

Patent

CA 2132756

Nodal outputs are discretized to values of S2n where n is an integer and S is equal to +1 or -1. During forward propagation, this offers the advantage offorming a product of a nodal output and a weight using a simple shift operation rather than a multiply operation. Replacing multiply operations with shift operations through out a neural network improves response times and permits building largernetworks that have broader applicability. Training is also improved by increasing the efficiency of backward propagation. The multiplications involved in backwardpropagation are reduced to shift operations by discretizing the errors associated with each node so that they are represented as S2n where n is an integer and S is equal to +1 or -1.

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