Shark
author: Tobias Glasmachers,
Ruhr University Bochum
published: Dec. 20, 2008, recorded: December 2008, views: 5911
published: Dec. 20, 2008, recorded: December 2008, views: 5911
Slides
Related content
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.
Description
Shark is a C++ machine learning library. Tutorials and html documentation make Shark easy to learn. The installation of Shark is straightforward, it does not depend on any third party software and compiles under Linux, Solaris, MacOS, and Windows. Various example programs serve as starting points for own projects. Shark provides methods for linear and nonlinear optimization, in particular evolutionary and gradient-based algorithms. It comes with different types of artificial neural networks ranging from standard
Link this page
Would you like to put a link to this lecture on your homepage?Go ahead! Copy the HTML snippet !
Reviews and comments:
The audio gets better after a couple of minutes, when the speaker gets the microphone back from the previous sleeper. The actual talk is not bad.
Kevin
Write your own review or comment: