Do you need (or can you) use split or cross- validation if you're using Deep Learning?

Curious
New Altair Community Member
Would it be correct to use deep learning in training partition?
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Best Answers
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Hi @Curiousit is correct, you can take a look at Auto Model with model type "Deep Learning" to have an example. It is always better to do cross validation, and maybe reduce the folds if it takes too long.It is good to remark that cross validation is used only for measuring the model performance with a reasonable bias. Depending of whether you need to optimize hyperparameters or not, cross validation may not be needed in a production environment.Regards,Sebastian
1
Answers
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Hi @Curiousit is correct, you can take a look at Auto Model with model type "Deep Learning" to have an example. It is always better to do cross validation, and maybe reduce the folds if it takes too long.It is good to remark that cross validation is used only for measuring the model performance with a reasonable bias. Depending of whether you need to optimize hyperparameters or not, cross validation may not be needed in a production environment.Regards,Sebastian
1