Home

TS-11: Transfer learning for time series

URL
https://www.youtube.com/watch?v=izcmIemT-rU
Views
0
Description
Notebook: https://www.kaggle.com/code/konradb/ts-11-deep-learning-for-ts-transfer-learning Transfer learning is a research problem in ML that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem. IT has enabled progress in areas with limited data availability in both CV and NLP domains. Several modern applications of machine learning are built around TL, so it's only natural that people would start thinking about using this approach to time series: while less obvious to formulate (what does it mean to learn time series features across domains), the idea of transfer learning for time series has huge potential. In this notebook we explore the idea in some more detail.
Rating
5
Name
Abhishek Thakur
Date
2022/10/04
TOP