Recognition and Optimization Algorithm of MNIST Dataset Based on LeNet5 Network Structure

DOI

10.2991/tlicsc-18.2018.52How to use a DOI?

Keywords

LeNet5 network, MNIST data set, optimization function.

Abstract

This paper analyzes the content composition and detailed structure of the MNIST dataset, introduces the overall level of the traditional LeNet5 network, and proposes an improved algorithm for its hidden layer, optimization function, activation function, etc. of the network layer structure. Optimization, and the effectiveness of the algorithm is verified by experiments. This paper has certain reference value for traditional neural network optimization and improving the correct classification rate of MNIST data sets.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hailong Xi
AU  - Haiyan Liu
AU  - Yu Zhang
PY  - 2018/12
DA  - 2018/12
TI  - Recognition and Optimization Algorithm of MNIST Dataset Based on LeNet5 Network Structure
BT  - Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SP  - 322
EP  - 328
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.52
DO  - 10.2991/tlicsc-18.2018.52
ID  - Xi2018/12
ER  -