DeepLearnToolbox_readme
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DeepLearnToolbox
A Matlab toolbox for Deep Learning.
Deep Learning is a new subfield of machine learning that focuses on learning deep hierarchical models of data. It is inspired by the human brain's apparent deep (layered, hierarchical) architecture. A good overview of the theory of Deep Learning theory is Learning Deep Architectures for AI
For a more informal introduction, see the following videos by Geoffrey Hinton and Andrew Ng.
- The Next Generation of Neural Networks (Hinton, 2007)
- Recent Developments in Deep Learning (Hinton, 2010)
- Unsupervised Feature Learning and Deep Learning (Ng, 2011)
If you use this toolbox in your research please cite Prediction as a candidate for learning deep hierarchical models of data
@MASTERSTHESIS\{IMM2012-06284, author = "R. B. Palm", title = "Prediction as a candidate for learning deep hierarchical models of data", year = "2012",}
Contact: rasmusbergpalm at gmail dot com
Directories included in the toolbox
NN/
- A library for Feedforward Backpropagation Neural Networks
CNN/
- A library for Convolutional Neural Networks
DBN/
- A library for Deep Belief Networks
SAE/
- A library for Stacked Auto-Encoders
CAE/
- A library for Convolutional Auto-Encoders
util/
- Utility functions used by the libraries
data/
- Data used by the examples
tests/
- unit tests to verify toolbox is working
For references on each library check REFS.md
Setup
- Download.
- addpath(genpath('DeepLearnToolbox'));
Known errors
test_cnn_gradients_are_numerically_correct
fails on Octave because of a bug in Octave's convn implementation. See http://savannah.gnu.org/bugs/?39314
test_example_CNN
fails in Octave for the same reason.
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