Preprint Article Version 1 This version is not peer-reviewed

An Overview of Convolutional Neural Network: Its Architecture and Applications

Version 1 : Received: 18 November 2018 / Approved: 20 November 2018 / Online: 20 November 2018 (15:25:37 CET)
Version 4 : Received: 13 February 2019 / Approved: 14 February 2019 / Online: 14 February 2019 (10:01:31 CET)

How to cite: Sakib, S.; Ahmed, N..; Kabir, A.J..; Ahmed, H.. An Overview of Convolutional Neural Network: Its Architecture and Applications. Preprints 2018, 2018110546 (doi: 10.20944/preprints201811.0546.v1). Sakib, S.; Ahmed, N..; Kabir, A.J..; Ahmed, H.. An Overview of Convolutional Neural Network: Its Architecture and Applications. Preprints 2018, 2018110546 (doi: 10.20944/preprints201811.0546.v1).

Abstract

With the increase of the Artificial Neural Network (ANN), machine learning has taken a forceful twist in recent times. One of the most spectacular kinds of ANN design is the Convolutional Neural Network (CNN). The Convolutional Neural Network (CNN) is a technology that mixes artificial neural networks and up to date deep learning strategies. In deep learning, Convolutional Neural Network is at the center of spectacular advances. This artificial neural network has been applied to several image recognition tasks for decades and attracted the eye of the researchers of the many countries in recent years as the CNN has shown promising performances in several computer vision and machine learning tasks. This paper describes the underlying architecture and various applications of Convolutional Neural Network.

Subject Areas

Convolutional Neural Network (CNN), Deep learning, Architecture, Applications

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