A Review of Convolution Neural Network Used in Various Applications

Abstract

The technique of deep learning is Convolutional Neural Networks (CNN) is very much effective for detecting features from images automatically. CNN can be used to train large datasets with billions or millions of parameters in form of images as input and convolve it with particular filters to produce the desired outputs. There are various applications of CNN like image recognition, image classification and image detection. This paper presents literature survey of CNN which is applied to various domain that includes medicine, agriculture, document layout. Also, so many CNN models were built to evaluate performance on image detection and recognition. Therefore, in this paper we compare all such models with respect to dataset. And we hope that this paper will help all the beginners who need a guidance about this domain.