TechnologyProfessionTest
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TechnologyProfessionTest
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42 questions
Easy
17 votes885 runs0 comment
Easy
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Easy
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Easy
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Easy
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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
Easy
1 vote832 runs0 comment
Easy
1 vote815 runs0 comment
Easy
1 vote811 runs2 comments
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
Easy
1 vote784 runs0 comment
Easy
1 vote781 runs2 comments
Medium
1 vote773 runs0 comment
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1 vote236 runs0 comment
Easy
1 vote233 runs0 comment
Medium
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Medium
1 vote79 runs1 comment
Medium
1 vote71 runs0 comment
Easy
0 vote807 runs1 comment
What type of learning are the following task included?
Martinat Mar 14, 2022