get_gate: Create an signal graph model of a multi-layer perceptron...
In robertness/signalgraph: Signal Processing with Graphs
Description
Usage
Arguments
Value
Description
Creates an signal graph model of a multi-layer perceptron logic gate. The signal graph weights are not fit.
This is used primarily for experiments.
Usage
1
Arguments
outputs
character vector describing the desired gates. Defaults to "all", in which case
(AND, OR, NAND, NOR, XOR, and XNOR) are the outputs. Otherwise any subset of these will work.
layers
a numeric vector where each element corresponds to a layer, and the value of an element
is the number of hidden nodes in the layer. Default is NULL. If value is null, no hidden layers will be
present (just an input and output layer).
Value
a signal graph model object with unfit weights
robertness/signalgraph documentation built on May 27, 2019, 10:33 a.m.
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Description Usage Arguments Value
Description
Creates an signal graph model of a multi-layer perceptron logic gate. The signal graph weights are not fit. This is used primarily for experiments.
Usage
1 |
Arguments
outputs |
character vector describing the desired gates. Defaults to "all", in which case (AND, OR, NAND, NOR, XOR, and XNOR) are the outputs. Otherwise any subset of these will work. |
layers |
a numeric vector where each element corresponds to a layer, and the value of an element is the number of hidden nodes in the layer. Default is NULL. If value is null, no hidden layers will be present (just an input and output layer). |
Value
a signal graph model object with unfit weights
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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