Open AccessPerspective on training fully connected networks with resistive memories: Device requirements for multiple conductances of varying significance
Author(s) -
Giorgio Cristiano,
Massimo Giordano,
Stefano Ambrogio,
Louis P. Romero,
Christina Cheng,
Pritish Narayanan,
Hsinyu Tsai,
R. M. Shelby,
Geoffrey W. Burr
Publication year - 2018
Publication title -
journal of applied physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.699
H-Index - 319
eISSN - 1089-7550
pISSN - 0021-8979
DOI - 10.1063/1.5042462
Subject(s) - conductance , computer science , crossbar switch , resistive touchscreen , generalization , encoding (memory) , artificial neural network , software , artificial intelligence , physics , mathematics , telecommunications , mathematical analysis , computer vision , programming language , condensed matter physics
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