Literature DB >> 18276453

Application of the ANNA neural network chip to high-speed character recognition.

E Sackinger1, B E Boser, J Bromley, Y Lecun, L D Jackel.   

Abstract

A neural network with 136000 connections for recognition of handwritten digits has been implemented using a mixed analog/digital neural network chip. The neural network chip is capable of processing 1000 characters/s. The recognition system has essentially the same rate (5%) as a simulation of the network with 32-b floating-point precision.

Year:  1992        PMID: 18276453     DOI: 10.1109/72.129422

Source DB:  PubMed          Journal:  IEEE Trans Neural Netw        ISSN: 1045-9227


  2 in total

1.  Comparison between Frame-Constrained Fix-Pixel-Value and Frame-Free Spiking-Dynamic-Pixel ConvNets for Visual Processing.

Authors:  Clément Farabet; Rafael Paz; Jose Pérez-Carrasco; Carlos Zamarreño-Ramos; Alejandro Linares-Barranco; Yann Lecun; Eugenio Culurciello; Teresa Serrano-Gotarredona; Bernabe Linares-Barranco
Journal:  Front Neurosci       Date:  2012-04-10       Impact factor: 4.677

Review 2.  Advancements in Microprocessor Architecture for Ubiquitous AI-An Overview on History, Evolution, and Upcoming Challenges in AI Implementation.

Authors:  Fatima Hameed Khan; Muhammad Adeel Pasha; Shahid Masud
Journal:  Micromachines (Basel)       Date:  2021-06-06       Impact factor: 2.891

  2 in total

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