| Ausführliche Beschreibung | 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.
|