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In order to get good results when implementing deep learning, one needs to prepare his data before using it. What action CAN be done during this preparation?
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Auteur anonyme11/11/2023
je ne paux pas voir
Auteur anonyme
13/11/2023
Peux-tu détailler ton bug sur notre bug tracker ? https://github.com/welovedevs/bug-tracker-public/issues
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Cross validation is a technique used for evaluating DL (deep learning) models (an ML models in general). The method consists in training several models on subsets of the input data and evaluating them on the complementary subset of this same data. It aims at avoiding overfitting.