Continual Learning - FSDL 2022

Continual Learning - FSDL 2022

Explore the intricacies of building a continual learning system for machine learning models in this comprehensive lecture. Delve into key concepts such as periodic retraining, iterative strategy development, and essential metrics for model monitoring. Learn about various retraining strategies, including logging, data curation, training triggers, dataset formation, and both offline and online testing methods. Gain insights into concrete continual learning workflows and take away valuable lessons for implementing these techniques in real-world scenarios. Access detailed notes and slides to supplement your learning experience and deepen your understanding of continual learning in machine learning systems.