دورية أكاديمية

Automatic layer selection for transfer learning and quantitative evaluation of layer effectiveness

التفاصيل البيبلوغرافية
العنوان: Automatic layer selection for transfer learning and quantitative evaluation of layer effectiveness
المؤلفون: Nagae, Satsuki, Kanda, Daigo, Kawai, Shin, Nobuhara, Hajime
المساهمون: Core Research for Evolutional Science and Technology, CREST
المصدر: Neurocomputing ; volume 469, page 151-162 ; ISSN 0925-2312
بيانات النشر: Elsevier BV
سنة النشر: 2022
المجموعة: ScienceDirect (Elsevier - Open Access Articles via Crossref)
مصطلحات موضوعية: Artificial Intelligence, Cognitive Neuroscience, Computer Science Applications
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1016/j.neucom.2021.10.051
الإتاحة: https://doi.org/10.1016/j.neucom.2021.10.051Test
https://api.elsevier.com/content/article/PII:S092523122101537X?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S092523122101537X?httpAccept=text/plainTest
حقوق: https://www.elsevier.com/tdm/userlicense/1.0Test/ ; http://www.elsevier.com/open-access/userlicense/1.0Test/ ; https://doi.org/10.15223/policy-017Test ; https://doi.org/10.15223/policy-037Test ; https://doi.org/10.15223/policy-012Test ; https://doi.org/10.15223/policy-029Test ; https://doi.org/10.15223/policy-004Test
رقم الانضمام: edsbas.6D209368
قاعدة البيانات: BASE