Image Classification Using Convolutional Neural Networks

Abstract

The term Deep Learning can be termed as the subset of artificial intelligence with multiple network layers forming neural patterns. People’s interest in having the knowledge of deep hidden layers have recently boosted and have begun to takeover various classical strategical performances in numerous fields; especially in pattern recognition and image recognition. One of the most talked-about and important part in deep learning and neural networks is about the Convolutional Neural Network (CNN). We have briefly described about how CNNs plays an integral role in the field of image recognition. Starting from the concepts of Deep Learning and Neural Networks we make our way for CNNs.We have given the idea of how CNN works along with convolutional layers and convolutional filters in a lay-man language and the simplest way possible. Further, how a convolutional filter classifies objects and shapes is also explained in the paper. Later in the paper we have also discussed the advantages of CNN over any other neural network technique.