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IEEE 2841:2022
IEEE Recommended Practice for Framework and Process for Deep Learning Evaluation
Summary
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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.
This recommended practice stipulates requirements for deep learning algorithms assessment and covers the following aspects: 1. Assessment index system 2. Assessment process 3. Assessment of such stages as demand, design, implementation, and operation
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.
This recommended practice stipulates requirements for deep learning algorithms assessment and covers the following aspects: 1. Assessment index system 2. Assessment process 3. Assessment of such stages as demand, design, implementation, and operation
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Technical characteristics
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Publication Date | 04/10/2023 |
| Edition | |
| Page Count | 32 |
| EAN | --- |
| ISBN | --- |
| Weight (in grams) | --- |
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10/04/2023
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