Technologies for shifted neural networks

Technologies for using a shifted neural network include a compute device to determine a shift-based activation function of the shifted neural network. The shift-based activation function is a piecewise linear approximation of a transcendental activation function and is defined by a plurality of line...

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Bibliographic Details
Main Authors Wu, Xiaoyun May, Ibarra von Borstel, Alejandro, Flores Fajardo, Carlos A, Zamora Esquivel, Julio C, Lopez Meyer, Paulo
Format Patent
LanguageEnglish
Published 04.08.2020
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:Technologies for using a shifted neural network include a compute device to determine a shift-based activation function of the shifted neural network. The shift-based activation function is a piecewise linear approximation of a transcendental activation function and is defined by a plurality of line segments such that a corresponding slope of each line segment is a power of two. The compute device further trains the shifted neural network based on shift-based input weights and the determined shift-based activation function.
Bibliography:Application Number: US201615046894