A Transfer Learning Evaluation of Deep Neural Networks for Image Classification

Transfer learning is a machine learning technique that uses previously acquired knowledge from a source domain to enhance learning in a target domain by reusing learned weights. This technique is ubiquitous because of its great advantages in achieving high performance while saving training time, mem...

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Bibliographic Details
Main Authors: Nermeen Abou Baker, Nico Zengeler, Uwe Handmann
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Machine Learning and Knowledge Extraction
Subjects:
Online Access:https://www.mdpi.com/2504-4990/4/1/2