COMPUTING SYSTEM AND COMPRESSING METHOD FOR NEURAL NETWORK PARAMETERS

Patent №

US 11,615,286

Granted

2023-03-28

Filed 2019

Owner

NATIONAL TSING HUA UNIVERSITY

Lab

AI components

1

ml

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16516202

A computing system and a compressing method for neural network parameters are provided. In the method, multiple neural network parameters are obtained. The neural network parameters are used for a neural network algorithm. Every at least two neural network parameters are grouped into an encoding combination. The number of neural network parameters in each encoding combination is the same. The encoding combinations are compressed with the same compression target bit number. Each encoding combination is compressed independently. The compression target bit number is not larger than a bit number of each encoding combination. Thereby, the storage space can be saved and excessive power consumption for accessing the parameters can be prevented.

Machine learningG06N 3/04H03M 7/40G06N 3/0495H03M 7/3077H03M 7/6047H03M 7/6076H03M 7/702

AI classification

Machine learning0.93
AI hardware0.21
Vision0.08
Knowledge representation0.00
Natural language0.00
Evolutionary computation0.00
Speech0.00
Planning0.00

Ownership

NATIONAL TSING HUA UNIVERSITY

assignment · 497970390

Assignors

LIN, YOUN-LONG, KAO, CHAO-YANG, KUO, HUANG-CHIH, LIN, CHIUNG-LIANG

On an employer assignment, the assignors are typically the inventors.

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