minimizeAutoencoder: Conjugate gradient for a autoencoder network
Description
This function trains a DArch autoencoder
network with the conjugate gradient method.Usage
minimizeAutoencoder(darch,trainData,targetData,epoch,length)
Arguments
darch
A instance of the class
DArch. trainData
The training data matrix
targetData
The labels for the training data
epoch
The actual epoch of the training
length
Numbers of line search
Value
- The trained
DArch object.
Details
This function is build on the basis of the code from G.
Hinton et. al.
(http://www.cs.toronto.edu/~hinton/MatlabForSciencePaper.html
- last visit 06.06.2013) for the fine tuning of deep belief
nets. The original code is located in the files
'backpropclassify.m', 'CG_MNIST.m' and
'CG_CLASSIFY_INIT.m'. It implements the fine tuning for a
classification net with backpropagation using a direct
translation of the minimize function from C.
Rassmussen (available at
http://www.gatsby.ucl.ac.uk/~edward/code/minimize/ - last
visit 06.06.2013) to R.