Invention Application
- Patent Title: CONVOLUTION NEURAL NETWORK SYSTEM AND METHOD FOR COMPRESSING SYNAPSE DATA OF CONVOLUTION NEURAL NETWORK
-
Application No.: US15806200Application Date: 2017-11-07
-
Publication No.: US20180131946A1Publication Date: 2018-05-10
- Inventor: Mi Young LEE , Byung Jo KIM , Ju-Yeob KIM , Jin Kyu KIM , Seong Min KIM , Joo Hyun LEE
- Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
- Priority: KR10-2016-0147743 20161107; KR10-2017-0064781 20170525
- Main IPC: H04N19/169
- IPC: H04N19/169 ; G06F17/30 ; G06N3/08 ; G06N3/063 ; H04N19/13 ; G06K9/62

Abstract:
Provided is a convolution neural network system including an image database configured to store first image data, a machine learning device configured to receive the first image data from the image database and generate synapse data of a convolution neural network including a plurality of layers for image identification based on the first image data, a synapse data compressor configured to compress the synapse data based on sparsity of the synapse data, and an image identification device configured to store the compressed synapse data and perform image identification on second image data without decompression of the compressed synapse data.
Information query