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Featured downloads:
Torch3_and_deeptorch_0.1_release.tar.gz deeptorch_0.1_release.tar.gz patchfile
Torch3_and_deeptorch_0.1_release.tar.gz deeptorch_0.1_release.tar.gz patchfile
This is an extension of the Torch3 Machine Learning library for handling various types of Deep Architectures and modifications to the standard Multi-layer Perceptrons:
- Handles an arbitrary number of fully-connected sigmoidal layers
- Unsupervised learning of MLPs using various reconstruction costs. Greedy layer-wise learning is available as well.
- An implementation of the Stacked Denoising Autoencoders
- A preliminary implementation of collective learning idea, whereby a pair of networks are trained in parallel and are communicating with each other.
If you're new to this page, be sure to check out the following wiki pages:
- InstallationInstructions
- UsageManual
- BackgroundInformation
- RelevantPublications
- BenchmarkDatasets
- FAQ
Math and diagrams describing the algorithms implemented in the code are forthcoming.