learn_do: Learn Dropout

In learNN: Examples of Neural Networks

Description

Learn Dropout

Usage

learn_do(X, y, alpha, hidden_dim, dropout_percent, do_dropout = TRUE)

Arguments

X	input data
y	output data
alpha	proportion of gradient descent
hidden_dim	dimension of the hidden layer
dropout_percent	percentage to be used for the dropout
do_dropout	should dropout be used

References

http://qua.st/handcoding-dropout/ http://iamtrask.github.io/2015/07/28/dropout/

Examples

# construct data
X = matrix(c(0,0,1,0,1,1,1,0,1,1,1,1), nrow=4, byrow=TRUE)
y = matrix(c(0,1,1,0),nrow=4)

# set hyperparameters
alpha = 0.5
hidden_dim = 4
dropout_percent = 0.2
do_dropout = TRUE

# run 11 lines function
learn_do(X, y, alpha, hidden_dim, dropout_percent, TRUE)

# view output
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learNN documentation built on May 1, 2019, 6:26 p.m.