The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jan. 29, 2019
Filed:
Oct. 04, 2017
Sas Institute Inc., Cary, NC (US);
North Carolina State University, Raleigh, NC (US);
Samuel Paul Leeman-Munk, Cary, NC (US);
Saratendu Sethi, Raleigh, NC (US);
Christopher Graham Healey, Cary, NC (US);
Shaoliang Nie, Raleigh, NC (US);
Kalpesh Padia, Raleigh, NC (US);
Ravinder Devarajan, Cary, NC (US);
David James Caira, Chapel Hill, NC (US);
Jordan Riley Benson, Ellerbe, NC (US);
James Allen Cox, Cary, NC (US);
Lawrence E. Lewis, Raleigh, NC (US);
Mustafa Onur Kabul, Apex, NC (US);
SAS INSTITUTE INC., Cary, NC (US);
NORTH CAROLINA STATE UNIVERSITY, Raleigh, NC (US);
Abstract
Convolutional neural networks can be visualized. For example, a graphical user interface (GUI) can include a matrix of symbols indicating feature-map values that represent a likelihood of a particular feature being present or absent in an input to a convolutional neural network. The GUI can also include a node-link diagram representing a feed forward neural network that forms part of the convolutional neural network. The node-link diagram can include a first row of symbols representing an input layer to the feed forward neural network, a second row of symbols representing a hidden layer of the feed forward neural network, and a third row of symbols representing an output layer of the feed forward neural network. Lines between the rows of symbols can represent connections between nodes in the input layer, the hidden layer, and the output layer of the feed forward neural network.