A way of evaluating how far off the predictions made by an AI model in relation to a problem. It is used with optimization functions in order to reduce the error of predictions.
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Loss Function
Updated on July 21, 2022
A way of evaluating how far off the predictions made by an AI model in relation to a problem. It is used with optimization functions in order to reduce the error of predictions.
This project has been co-funded with support from the European Commission. This communication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.
Project number: 2020-1-IT01-KA202-008386
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