Linux temps réel embarqué et outils de développements Technique


libtorch3-dev State of the art machine learning library - development files
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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