Linux temps réel embarqué et outils de développements Technique


libtorch3c2 State of the art machine learning library - runtime library
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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