layers: Parameter objects for occurrence-based automated conservation...
In barnabywalker/tidyassessments: Model Wrappers for Automated Conservation Assessments
layers R Documentation
Parameter objects for occurrence-based automated conservation assessment models.
Description
layers() describes a specification of the layers in neural network as
a string with the number of hidden units in each layer separated by an underscore,
e.g "40_20" specifies a two-layer network with 40 units in the first layer and 20
in the second.
Usage
layers(values = values_layers)
values_layers
Arguments
values
The possible layer specifications to use.
Format
An object of class character of length 8.
Value
A function of class 'qual_param' and 'param'.
Examples
layers(c("10", "40_20", "50_30_10"))
barnabywalker/tidyassessments documentation built on April 8, 2022, 12:32 p.m.
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| layers | R Documentation |
Parameter objects for occurrence-based automated conservation assessment models.
Description
layers() describes a specification of the layers in neural network as
a string with the number of hidden units in each layer separated by an underscore,
e.g "40_20" specifies a two-layer network with 40 units in the first layer and 20
in the second.
Usage
layers(values = values_layers) values_layers
Arguments
values |
The possible layer specifications to use. |
Format
An object of class character of length 8.
Value
A function of class 'qual_param' and 'param'.
Examples
layers(c("10", "40_20", "50_30_10"))
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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