The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 07, 2021

Filed:

Oct. 24, 2017
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Jungwook Choi, Yorktown Heights, NY (US);

Kailash Gopalakrishnan, San Jose, CA (US);

Charbel Sakr, Champaign, IL (US);

Swagath Venkataramani, Yonkers, NY (US);

Zhuo Wang, Mountainview, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06N 3/04 (2013.01);
Abstract

Techniques that facilitate improving an efficiency of a neural network are described. In one embodiment, a system is provided that comprises a memory that stores computer-executable components and a processor that executes computer-executable components stored in the memory. In one implementation, the computer-executable components comprise an initialization component that selects an initial value of an output limit, wherein the output limit indicates a range for an output of an activation function of a neural network. The computer-executable components further comprise a training component that modifies the initial value of the output limit during training to a second value of the output limit, the second value of the output limit being provided as a parameter to the activation function. The computer-executable components further comprise an activation function component that determines the output of the activation function based on the second value of the output limit as the parameter.


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