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U.S. Department of Energy
Office of Scientific and Technical Information

Cortexsys v. 3.0

Software ·
OSTI ID:1311620

This code implements a variety of "deep learning" algorithms from openly published academic journals. These deep learning algorithms allow the user to train neural networks to do various tasks. Such tasks include predicting future values in a time sequence, categorizing images or compressing information. The code is mostly written in the easy to understand Matlab / GNU Octave language, which enables rapid prototyping and understanding for research and educational purposes.

Short Name / Acronym:
Cortexsys; 004715MLTPL00
Site Accession Number:
SCR #2090
Version:
00
Programming Language(s):
Medium: X; OS: Windows, Mac OS X or Linux
Research Organization:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC04-94AL85000
OSTI ID:
1311620
Country of Origin:
United States

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