mse: Mean Squared Error
In eduardokapp/r_neural_network: Kapp Neural Nets
Description
Usage
Arguments
Details
Author(s)
Description
An alternative MSE implementation where
the mean is halved. That is done in order to make the
derivative easier to calculate in the backpropagation
algorithm, as the derivative of 1/2n*(sum(y-h)^2) is then
simply (h-y).
Usage
1
mse(y, h)
Arguments
y
An array (matrix)
h
An array (matrix)
Details
Note that y and h need to have the same
dimensions.
Author(s)
Eduardo Kapp
eduardokapp/r_neural_network documentation built on Dec. 20, 2021, 3:21 a.m.
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Description Usage Arguments Details Author(s)
Description
An alternative MSE implementation where the mean is halved. That is done in order to make the derivative easier to calculate in the backpropagation algorithm, as the derivative of 1/2n*(sum(y-h)^2) is then simply (h-y).
Usage
1 | mse(y, h)
|
Arguments
y |
An array (matrix) |
h |
An array (matrix) |
Details
Note that y and h need to have the same dimensions.
Author(s)
Eduardo Kapp
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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