Abstract
This lecture overviews Transfer Learning (TL) that has many applications in DNN training and adaptation, Image Understanding, Text Mining, Activity Recognition, Bioinformatics, Transportation. It covers the following topics in detail: Definition of TL, Categorization of TL: Instance-based (Noninductive, Inductive), Feature-based, Model-based, Relation-based, Heterogeneous TL, Negative Transfer, TL with Deep Learning, Fundamental TL Research Issues, Applications of TL.
Transfer Learning.
Transfer Learning categorization.
Transfer-Learning-v1.5.1-Summary