Natural Image Classification Method based on Deep Learning

DOI

10.2991/ahis.k.220601.053How to use a DOI?

Keywords

Deep learning; Image classification; Deep convolutional neural network

Abstract

In this paper, natural image classification based on deep learning is studied. Image classification is an important research direction in the field of computer vision. With the rapid development of Internet and mobile terminals in recent years, the number of pictures in various social networking sites is growing geometrically, However, the diversity and disorder of these images make it difficult to obtain the effective information completely. Convolutional neural network is an important application of deep learning in image processing. Compared with other machine learning algorithms such as SVM, it can convolute image pixels directly and extract features. It can also use massive image data to train network parameters to achieve better classification effect.

Copyright

© 2022 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license.

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TY  - CONF
AU  - Mingwen-Chi
PY  - 2022
DA  - 2022/06/02
TI  - Natural Image Classification Method based on Deep Learning
BT  - Proceedings of the 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021)
PB  - Atlantis Press
SP  - 280
EP  - 285
SN  - 2589-4919
UR  - https://doi.org/10.2991/ahis.k.220601.053
DO  - 10.2991/ahis.k.220601.053
ID  - 2022
ER  -