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ITU GSR 2024

ITU-T work programme

[2017-2020] : [SG16] : [Q5/16]

[Declared patent(s)]  - [Publication]

Work item: F.748.12 (ex F.AI-DLFE)
Subject/title: Deep learning software framework evaluation methodology
Status: Approved on 2021-06-13 
Approval process: AAP
Type of work item: Recommendation
Version: New
Equivalent number: -
Timing: -
Liaison: -
Supporting members: -
Summary: With great desire in AI applications, deep learning software framework provides an easy and fast way for manufactures to develop their own applications. However, different frameworks show different performance under different scenarios. It is necessary to formulate a Recommendation to evaluate the deep learning software frameworks to help manufactures take full advantage of certain framework and avoid disadvantages of others.
Comment: -
Reference(s):
  Historic references:
Contact(s):
Shuo Liu, Editor
Yanjun Ma, Editor
Yuntao Wang, Editor
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First registration in the WP: 2019-10-03 16:04:28
Last update: 2021-05-11 10:32:08