dropoutMask: Produce a dropout mask
In davharris/mistnet: Stochastic Neural Networks
Description
Produces a binary matrix, with each element independently sampled as 1 or 0
with probabilty 0.5.
Code is based on the "josh" function from
https://gist.github.com/sckott/3639688
Usage
1
dropoutMask(n.row, n.col, prob = 0.5)
Arguments
n.row
the number of rows desired
n.col
the number of columns desired
prob
the probability that an element of the matrix is one rather than zero
davharris/mistnet documentation built on May 14, 2019, 9:28 p.m.
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Description
Produces a binary matrix, with each element independently sampled as 1 or 0 with probabilty 0.5. Code is based on the "josh" function from https://gist.github.com/sckott/3639688
Usage
1 | dropoutMask(n.row, n.col, prob = 0.5)
|
Arguments
n.row |
the number of rows desired |
n.col |
the number of columns desired |
prob |
the probability that an element of the matrix is one rather than zero |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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