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Linux temps réel embarqué et outils de développements
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Technique |
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libtorch3-dev
libtorch3-dev | State of the art machine learning library - development files | Priority | |
Section | libdevel |
Installed size | 2484 |
Maintainer | Cosimo Alfarano <kalfa@debian.org> |
Architecture | i386 |
Version | 3.1-1.1 |
Depends | libtorch3c2 (= 3.1-1.1), c++abi2-dev | libstdc++6-4.1-dev |
Suggests | java-virtual-machine |
File name | pool/main/t/torch3/libtorch3-dev_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. . * 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 development package (header files and static library.) |
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