mlp_eval: Evaluation
In FCNN4R: Fast Compressed Neural Networks for R
Description
Usage
Arguments
Value
Description
Evaluate network output.
Usage
1
mlp_eval(net, input)
Arguments
net
an object of mlp_net class
input
numeric matrix, each row corresponds to one input vector,
the number of columns must be equal to the number of neurons
in the network input layer
Value
Numeric matrix with rows representing network outputs corresponding
to input rows.
FCNN4R documentation built on May 29, 2017, 4:26 p.m.
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Description Usage Arguments Value
Description
Evaluate network output.
Usage
1 | mlp_eval(net, input)
|
Arguments
net |
an object of |
input |
numeric matrix, each row corresponds to one input vector, the number of columns must be equal to the number of neurons in the network input layer |
Value
Numeric matrix with rows representing network outputs corresponding to input rows.
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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