setLearnRateWeights

setLearnRateWeights<-

setLearnRateWeights<-,Net-method

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

Object of the class <code>numeric</code>.

value

setLearnRateWeights&lt;-

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.

setLearnRateWeights<-: Sets the learning rate for the weights.

Description

Usage

Arguments

See Also