softmaxUnit: Softmax unit function with unit derivatives.

In darch: Package for Deep Architectures and Restricted Boltzmann Machines

Description

The function calculates the activation of the units and returns a list, in which the first entry is the result through the softmax transfer function and the second entry is the derivative of the transfer function.

Usage

softmaxUnit(input, ...)

Arguments

input	Input for the activation function.
...	Additional parameters, not used.

Value

A list with the softmax activation in the first entry and the derivative of the transfer function in the second entry.

References

http://www.faqs.org/faqs/ai-faq/neural-nets/part2/section-12.html

See Also

Other darch unit functions: exponentialLinearUnit, linearUnit, maxoutUnit, rectifiedLinearUnit, sigmoidUnit, softplusUnit, tanhUnit

Examples

## Not run: 
data(iris)
model <- darch(Species ~ ., iris,
 darch.unitFunction = c("sigmoidUnit", "softmaxUnit"))

## End(Not run)

darch documentation built on May 29, 2017, 8:14 p.m.