sigmoidUnitRbm: Calculates the RBM neuron output with the sigmoid function

In maddin79/darch: Package for Deep Architectures and Restricted Boltzmann Machines

Description

Calculates the RBM neuron output with the sigmoid function from input saved in data.

Usage

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

Arguments

rbm	An 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, not used.

Details

The return value is a list with the output of the sigmoid function as first entry and binary representation calculated through a comparison of the output with random numbers. The random numbers a generated with the function runif.

Value

The real value and binary activations for the units

See Also

Other RBM unit functions: linearUnitRbm, tanhUnitRbm

maddin79/darch documentation built on May 21, 2019, 10:53 a.m.