Lecture 06: Continual Learning (FSDL 2022)
In this video, we cover what it takes to build a continual learning system around a machine learning model.
0:00:00 Overview
0:03:38 How to think about continual learning
0:07:35 Periodic retraining
0:10:24 Iterating on your retraining strategy
0:12:34 Metrics for monitoring ML models
0:31:06 Tools and tests for metric monitoring
0:34:47 Retraining strategy: logging
0:37:24 Retraining strategy: data curation
0:47:06 Retraining strategy: training triggers
0:51:43 Retraining strategy: dataset formation
0:55:34 Retraining strategy: offline testing
0:59:46 Retraining strategy: online testing
1:00:21 A concrete continual learning workflow
1:03:53 Take-aways
Detailed notes and slides: https://fullstackdeeplearning.com/cou...
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