skip to main content

SciTech ConnectSciTech Connect

Title: Cortexsys v. 3.0

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.
  1. Sandia National Laboratories
Publication Date:
OSTI Identifier:
Report Number(s):
Cortexsys; 004715MLTPL00
SCR #2090
DOE Contract Number:
Software Revision:
Software Package Number:
Software CPU:
Open Source:
Source Code Available:
Research Org:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org:
Country of Publication:
United States

To initiate an order for this software, request consultation services, or receive further information, fill out the request form below. You may also reach us by email at: .

ESTSC staff will begin to process an order for scientific and technical software once the payment and signed site license agreement are received. If the forms are not in order, ESTSC will contact you. No further action will be taken until all required information and/or payment is received. Orders are processed within three to five business days.

Software Request