# applyDropoutMask: Applies the given dropout mask to the given data row-wise. In deeplearning: An Implementation of Deep Neural Network for Regression and Classification

## Description

This function multiplies each row with the dropout mask. To apply the dropout mask by row, it can simply be multiplied with the data matrix. This does not work of the mask is to be applied row-wise, hence this function.

## Usage

 `1` ```applyDropoutMask(data, mask) ```

## Arguments

 `data` Data to which the dropout mask should be applied `mask` The dropout mask, a vector of 0 and 1.
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