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Linux temps réel embarqué et outils de développements
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Technique |
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libtorch3c2
| libtorch3c2 | State of the art machine learning library - runtime library | | Priority | |
| Section | libs |
| Installed size | 580 |
| Maintainer | Cosimo Alfarano <kalfa@debian.org> |
| Architecture | i386 |
| Version | 3.1-1.1 |
| Depends | libc6 (>= 2.3.6-6), libgcc1 (>= 1 |
| Suggests | java-virtual-machine |
| File name | pool/main/t/torch3/libtorch3c2_3.1-1.1_i386.deb |
| Description | Torch is a machine-learning library, written in C++. Its aim is to provide the state-of-the-art of the best algorithms for machine-learning. . * Many gradient-based methods, including multi-layered perceptrons, radial basis functions, and mixtures of experts. Many small "modules" (Linear module, Tanh module, SoftMax module, ...) can be plugged together. * Support Vector Machine, for classification and regression. * Distribution package, includes Kmeans, Gaussian Mixture Models, Hidden Markov Models, and Bayes Classifier, and classes for speech recognition with embedded training. * Ensemble models such as Bagging and Adaboost. * Non-parametric models such as K-nearest-neighbors, Parzen Regression and Parzen Density Estimator. . This package is the Torch runtime library. |
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Etude RTOS