DocumentCode
2492279
Title
Tanh-like Activation Function Implementation for High-performance Digital Neural Systems
Author
Marra, S. ; Iachino, Maria A. ; Morabito, Francesco C.
Author_Institution
Dept. of Informatics, Math., Electron. & Transp., Reggio Calabria Univ. "Mediterranea"
fYear
0
fDate
0-0 0
Firstpage
237
Lastpage
240
Abstract
In this paper, a high-performance implementation of a programmable tanh-like activation function is presented. The proposed function can be successfully used to train neural networks obtaining generalization ability slightly better than standard activation functions. The achieved accuracy, the high computational speed and the small amount of area resources make the proposed solution ideal for digital implementations
Keywords
digital arithmetic; logic design; neural chips; programmable circuits; digital neural systems; generalization ability; neural networks; programmable tanh-like activation function; Arithmetic; Artificial neural networks; Computer networks; Energy consumption; Field programmable gate arrays; Hardware; Informatics; Integrated circuit interconnections; Neural networks; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Research in Microelectronics and Electronics 2006, Ph. D.
Conference_Location
Otranto
Print_ISBN
1-4244-0157-7
Type
conf
DOI
10.1109/RME.2006.1689940
Filename
1689940
Link To Document