tanhUnitRbm: Calculates the neuron output with the hyperbolic tangent...

In darch: Package for Deep Architectures and Restricted Boltzmann Machines

Description

Calculates the neuron output with the hyperbolic tangent function from input in data.

Usage

tanhUnitRbm(rbm, data, biases, weights, runParams,
  matMult = getParameter(".matMult", ...), ...)

Arguments

rbm	A instance of the class RBM.
data	A matrix with the data for the calculations.
biases	The biases for the calculations.
weights	The weight matrix for the calculations.
runParams	Parameters which indicates the status of the training.
matMult	Matrix multiplication function.
...	Additional parameters, used for parameter resolution.

Details

The return value is a list with the output of the hyperbolic tangent function as first entry and binary (-1,1) representation calculated through a comparison ofthe output with random numbers. The random numbers a generated with the function runif.

Value

The real value and binary (-1,1) activations for the units.

See Also

Other RBM unit functions: linearUnitRbm, sigmoidUnitRbm

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