| Deep learning software framework evaluation methodology |
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A deep learning software framework provides an easy and fast way for manufactures to develop their own artificial intelligence (AI) applications. However, different frameworks show different performances under different scenarios. Recommendation ITU-T F.748.12 helps to evaluate deep learning software frameworks to help manufactures take full advantage of certain frameworks and avoid the disadvantages of others.
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| Citation: |
https://handle.itu.int/11.1002/1000/14681 |
| Series title: |
F series: Non-telephone telecommunication services
F.700-F.799: Multimedia services |
| Approval date: |
2021-06-13 |
| Provisional name: | F.AI-DLFE |
| 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.748.12 (06/2021)
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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
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2022
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here
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Application of software-defined cameras in the surveillance industry
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2022
|
here
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Conformance test specification for ITU-T F.780.1
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2022
|
here
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Overview of assistive listening systems
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2020
|
here
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Overview of remote captioning services
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2019
|
here
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Telecommunications Accessibility Checklist
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2006
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here
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