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Transfer Learning

The task of transferring information from one machine learning task to another. The idea is to use one solved problem in order to solve another different but related problem. It can be used in multiple situations like: transferring knowledge from the solution of a simpler task to a more complex one or involve transferring knowledge from a task where there is more data to one where there is less data. Example: A model which can recognize cars could apply when trying to recognize trucks.

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