darch: Package for deep architectures and Restricted-Bolzmann-Machines
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