Constarium
← Search

Data · dataset · 2025

Apprentissage par transfert | Transfer learning

Listed in Borealis

Transfer learning is a powerful technique in machine learning that involves taking a pre-trained model, which has been trained on one task, and reusing it for another related but different task.

Links

Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP3/QYRGPU11 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4602mapping · borealisdata cavocabulary-mapper@1.0.0keywords['Artificial Intelligence']
concepts[field].anzsrc:group:4611mapping · borealisdata cavocabulary-mapper@1.0.0keywords['Machine Learning']
concepts[field].dataverse_subject:computer-and-information-sciencesource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].dataverse_subject:social-sciencessource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:computer-science-aimapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
created_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
descriptionsource · borealisdata caconnector:borealisdata_ca@1.0.0/description
publication_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
titlesource · borealisdata caconnector:borealisdata_ca@1.0.0/name
updated_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
version_labelsource · borealisdata caconnector:borealisdata_ca@1.0.0