Torch

author:Ronan Collobert, NEC Laboratories America, Inc.
published: Dec. 20, 2008,   recorded: December 2008,   views: 163
You might be experiencing some problems with Your Video player.

Related content

Visitors who watched this lecture also watched...
47:08
Matplotlib

2304 views - John D. Hunter, 2008
12:00
Machine Learning Py (mlpy)

501 views - Davide Albanese, 2008
46:44
Octave

318 views - John W. Eaton, 2008
20:20
Kernlab

342 views - Alexandros Karatzoglou, 2008
13:19
MDP – Modular toolkit for Data Processing

158 views - Tiziano Zito, 2008
17:52
Shark

140 views - Tobias Glasmachers, 2008
53:45
Large-scale Machine Learning and Stochastic Algorithms

233 views - Léon Bottou, 2008
09:44
Introduction and overwiew

90 views - Sören Sonnenburg, 2008
11:04
BCPy2000

222 views - Jeremy Hill, 2008
15:02
Nieme

46 views - Francis Maes, 2008

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.

Description

Torch provides a Matlab-like environment for state-of-the-art machine learning algorithms. It is easy to use and very efficient, thanks to a simple-yet-powerful fast scripting language (Lua), and a underlying C/C++ implementation. Torch is easily extensible and has been shown to scale to very large applications.

Link this page  

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: