TECHNOLOGIES FOR SHIFTED NEURAL NETWORKS

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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Flores Fajardo Carlos A, Wu Xiaoyun May, Ibarra von Borstel Alejandro, Lopez Meyer Paulo, Zamora Esquivel Julio C
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung: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.