Transfer Learning 101
Himanshu Dubey,
Notion,
Jan 10, 2025
This article gets a bit technical for a 101 but readers may appreciate the way it progresses from the architectural description to mathematical description to that involving Baysean probabilities. Transfer learning "is a machine learning method where a model developed for a first task is reused as the starting point for a model on a second task. It's worth noting that this concept goes against the view prevalent in some educational theories based on 'content knowledge' that each knowledge is a separate free-standing domain and there are aren't concepts (like, say, critical thinking) that can 'transfer' from one domain to the other.
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