We need your consent to use the individual data so that you can see information about your interests, among other things. Click "OK" to give your consent.
IEEE Recommended Practice for Framework and Process for Deep Learning Evaluation
Translate name
STANDARD published on 10.4.2023
Designation standards: IEEE 2841-2022
Publication date standards: 10.4.2023
SKU: NS-1138899
The number of pages: 32
Approximate weight : 96 g (0.21 lbs)
Country: International technical standard
Category: Technical standards IEEE
New IEEE Standard - Active.
The recommendations on evaluating and improving algorithm reliability for shortening the development cycle of deep learning algorithms and improving the quality of software systems based on deep learning algorithms are defined in this document. An assessment index system and corresponding assessment process are specified in this document.
ISBN: 978-1-5044-9358-1, 978-1-5044-9359-8
Number of Pages: 32
Product Code: STD25896, STDPD25896
Keywords: algorithm reliability, deep learning evaluation, IEEE 2841, quality of deep learning algorithm
Category: 309
Do you want to make sure you use only the valid technical standards?
We can offer you a solution which will provide you a monthly overview concerning the updating of standards which you use.
Would you like to know more? Look at this page.
Latest update: 2024-09-08 (Number of items: 2 346 102)
© Copyright 2024 NORMSERVIS s.r.o.