sumSquaredError: Sums up squared error
In TeachNet: Fits Neural Networks to Learn About Backpropagation
Description
Usage
Arguments
Author(s)
See Also
Description
Computes the full value of the squared error for TeachNet
Usage
1
sumSquaredError(weights, data, h2)
Arguments
weights
current weights
data
data frame
h2
number of neurons in second hidden layer
Author(s)
Georg Steinbuss
See Also
crossEntropy
TeachNet documentation built on May 2, 2019, 7 a.m.
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Description Usage Arguments Author(s) See Also
Description
Computes the full value of the squared error for TeachNet
Usage
1 | sumSquaredError(weights, data, h2)
|
Arguments
weights |
current weights |
data |
data frame |
h2 |
number of neurons in second hidden layer |
Author(s)
Georg Steinbuss
See Also
crossEntropy
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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