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TechnologyProfession
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42 questions
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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.
Martinat Apr 4, 2022
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What type of learning are the following task included?
Martinat Mar 14, 2022
Easy
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In deep learning, the validation set is used to provide frequent and unbiased evaluations of the model’s fit on the training set while tuning its hyperparameters/parameters: in other words,the model is found and then tested on the validation set before to be improved once again.
Martinat Mar 14, 2022
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