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For questions related to transfer learning, a machine learning method that focuses on storing knowledge gained while solving one problem in order to apply this knowledge to a different but related problem.
7
votes
Accepted
What is the difference between one-shot learning, transfer learning and fine tuning?
They are all related terms.
From top to bottom:
One-shot learning aims to achieve results with one or very few examples. Imagine an image classification task. You may show an apple and a knife to a …