| Name : torch
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| Version : 3.1
| Vendor : Fedora Project
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| Release : 8.fc20
| Date : 2013-08-04 08:16:46
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| Group : Applications/Engineering
| Source RPM : torch-3.1-8.fc20.src.rpm
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| Size : 0.51 MB
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| Packager : Fedora Project
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| Summary : Torch is a simple machine-learning library
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Description :
Torch is a simple machine-learning library, among its features you can find:
* A lot of things in gradient machines, that is, machines which could be
learned with a gradient descent. This includes multi-layered perceptrons,
radial bas is functions, mixtures of experts, convolutional networks and
even time-delay neural networks. In fact a lot of \"modules\" are available
that you can plug as you want to get what you need.
* Support vector machines, in classification and regression. As fast as the
old stand-alone program SVMTorch II, but with the powerful environment of
the library.
* Ensemble models such as bagging or adaboost.
* Non-parametric models such as K-nearest-neighbors, Parzen regression and
Parzen density estimator.
* Distributions stuff, like Kmeans, Gaussian mixture models, hidden Markov
models, input-output hidden Markov models, and Bayes classifier.
* Speech recognition tools (Embedded training and large vocabulary decoding).
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RPM found in directory: /packages/linux-pbone/archive.fedoraproject.org/fedora/linux/releases/20/Everything/x86_64/os/Packages/t |
