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  1. Neural networks made easy (Part 23): Building a tool for Transfer Learning

    by , 10-19-2022 at 09:07 PM
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    We continue our immersion in the world of artificial intelligence. What is Transfer Learning and why do we need it? Transfer Learning is a machine learning method in which the knowledge of a model trained to solve one problem is reused as a basis for solving new problems. Of course, to solve new problems, the model is preliminarily additionally trained on new data. In the general case, with a properly selected donor model, additional training runs much
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