ISO/IEC 15938-17:2022

Status : Published (To be revised)

This standard will be replaced by ISO/IEC 15938-17

	Format	Language
std 1 187	PDF + ePub
std 2 187	Paper

CHF187

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Abstract

This document specifies Neural Network Coding (NNC) as a compressed representation of the parameters/weights of a trained neural network and a decoding process for the compressed representation, complementing the description of the network topology in existing (exchange) formats for neural networks. It establishes a toolbox of compression methods, specifying (where applicable) the resulting elements of the compressed bitstream.

This document does not specify a complete protocol for the transmission of neural networks, but focuses on compression of network parameters. Only the syntax format, semantics, associated decoding process requirements, parameter sparsification, parameter transformation methods, parameter quantization, entropy coding method and integration/signalling within existing exchange formats are specified, while other matters such as pre-processing, system signalling and multiplexing, data loss recovery and post-processing are considered to be outside the scope of this document. Additionally, the internal processing steps performed within a decoder are also considered to be outside the scope of this document; only the externally observable output behaviour is required to conform to the specifications of this document.

General information

Status
: Published

Publication date
: 2022-08

Stage
: International Standard to be revised [90.92]
Edition
: 1

Number of pages
: 77
Technical Committee :
ISO/IEC JTC 1/SC 29

ICS :
35.040.40
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