| Metrics and evaluation methods for a deep neural network processor benchmark |
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Recommendation ITU-T F.748.11 provides the benchmarking framework, evaluation metrics and methods, and application scenarios for deep neural network processors operating training and inference tasks. |
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| Citation: |
https://handle.itu.int/11.1002/1000/14329 |
| Series title: |
F series: Non-telephone telecommunication services
F.700-F.799: Multimedia services |
| Approval date: |
2020-08-13 |
| Provisional name: | F.AI-DLPB |
| Approval process: | AAP |
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Status: |
In force |
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Maintenance responsibility: |
ITU-T Study Group 21 |
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Further details: |
Patent statement(s)
Development history
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| Ed. |
ITU-T Recommendation |
Status |
Summary |
Table of Contents |
Download |
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1
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F.748.11 (08/2020)
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In force
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here
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here
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here
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| Title |
Approved on |
Download |
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Guideline on web-based remote sign language interpretation or video remote interpretation (VRI) system
|
2022
|
here
|
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Application of software-defined cameras in the surveillance industry
|
2022
|
here
|
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Conformance test specification for ITU-T F.780.1
|
2022
|
here
|
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Overview of assistive listening systems
|
2020
|
here
|
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Overview of remote captioning services
|
2019
|
here
|
|
Telecommunications Accessibility Checklist
|
2006
|
here
|
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