rbmUpdate

A instance of the class <code><a href="/link/RBM?package=darch&version=0.9.1" rd-options="" data-mini-rdoc="darch::RBM">RBM</a></code>.

This function updates the weights and biases for an
<code><a href="/link/RBM?package=darch&version=0.9.1" rd-options="" data-mini-rdoc="darch::RBM">RBM</a></code> network. It is saved in the attribute
<code>updateFunction</code> of the <code><a href="/link/RBM?package=darch&version=0.9.1" rd-options="" data-mini-rdoc="darch::RBM">RBM</a></code> object and
called from the training function <code><a href="/link/trainRBM?package=darch&version=0.9.1" rd-options="" data-mini-rdoc="darch::trainRBM">trainRBM</a></code>.

The darch package is build on the basis of the code from G. E.
    Hinton and R. R. Salakhutdinov (available under Matlab Code for deep belief
    nets : last visit: 01.08.2013). This package is for generating neural
    networks with many layers (deep architectures) and train them with the
    method introduced by the publications "A fast learning algorithm for deep
    belief nets" (G. E. Hinton, S. Osindero, Y. W. Teh) and "Reducing the
    dimensionality of data with neural networks" (G. E. Hinton, R. R.
    Salakhutdinov). This method includes a pre training with the contrastive
    divergence method publishing by G.E Hinton (2002) and a fine tuning with
    common known training algorithms like backpropagation or conjugate
    gradient.

Martin Drees

darch

Package for deep architectures and Restricted-Bolzmann-Machines

rbmUpdate function

Function for updating the weights and biases of an <code><a href="/link/RBM?package=darch&version=0.9.1" rd-options="" data-mini-rdoc="darch::RBM">RBM</a></code>

rbmUpdate: Function for updating the weights and biases of an `RBM`

Description

Usage

Arguments

Value

See Also