01403nam 2200337 450 99657531190331620231213213428.01-5044-9358-3(CKB)4100000012904014(NjHacI)994100000012904014(EXLCZ)99410000001290401420231213d2023 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrier2841-2022 - IEEE Recommended Practice for Framework and Process for Deep Learning Evaluation /Institute of Electrical and Electronics EngineersNew York :IEEE,2023.1 online resource (32 pages)Includes bibliographical references.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.AlgorithmsAlgorithms.518.1NjHacINjHaclBOOK9965753119033162841-2022 - IEEE Recommended Practice for Framework and Process for Deep Learning Evaluation3880992UNISA