Image Classification using Convolutional Neural Network

Abstract

Machine learning and deep learning techniques are used in image classification. The execution of a classification system is based on the quality of extracted image features. This paper deals with the Convolutional Neural Network for identifying the category of the image. Convolution and pooling operations are explained for classifying the image. Trained dataset (caltech101) is used for the classification of the image in MATLAB. Example is given for predicting the image category.