GB/T 42382.1-2023 Active National standards

GB/T 42382.1-2023 Information technology—Neural network representation and model compression—Part 1:Convolutional neural network

GB/T 42382.1-2023 Information technology—Neural network representation and model compression—Part 1:Convolutional neural network

Publish Date: 2023-03-17 Implement Date: 2023-10-01 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us

Basic Information

Standard Code: GB/T 42382.1-2023
Standard Type: National standards
Standard Status: Active
is_force_gb: no
CCS Name: Encoding, character sets, and character recognition
ICS Name: Character sets and information encoding
Publish Date: 2023-03-17
Implement Date: 2023-10-01
Pages: 253 pages

Scope

This document specifies the representation and compression process of offline convolutional neural network models.
This document is applicable to the research, development, and testing evaluation of various convolutional neural network models, as well as their efficient application in the edge and cloud domains.
Note: The representation and model compression methods specified in this document do not require native support from machine learning frameworks. They can be supported through conversion, toolkits, and other means.

Development Information

Word Count: 490 Thousand words Pages: 253 pages

Referenced Standards

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