Basics of Deep Learning: Transfer Learning

Basics of Deep Learning: Transfer Learning by Andrei Bursuc (2021) 00:00​ Introduction 04:42​ Off-the-shelf networks 15:02​ Linear probing (training a linear classifier on top of network features) 22:18​ Fine-tuning 35:03​ Task transfer learning 43:47​ Multi-task learning 53:58​ Domain adaptation 01:09:47​ Data adaptation