applyDropoutMask: Applies the given dropout mask to the given data row-wise.
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
applyDropoutMask(data, mask)
Arguments
data
Data to which the dropout mask should be applied
mask
The dropout mask, a vector of 0 and 1.
Value
Data with applied dropout mask
References
Dropout: A Simple Way to Prevent Neural Networks from
Overfitting, Nitish Srivastava