Image classification using deep learning technique

Abstract

Image classification and object recognition are very essential in automation purposes. Various domains like agriculture,
health, food-processing, defence, remote-sensing, virtual-reality, 3Dmodeling, manufacturing industries, robotics,
augmented reality, etc are flourishing because of image classification. A misclassification can lead to bulk loss of
information and money in large scale applications. Conventional classification methods involve pre-processing, feature
extraction and using well trained classifiers to obtain the decision which is very time consuming. For real time decision
making, Convolutional Neural networks, particularly Pretrained Convolutional Neural Network performs much effectively.
Convolutional Neural Networks are the most preferred and emerging trend today in the field of machine learning, artificial
intelligence and computer vision. Our proposed method is to study the concept of image classification by making use of the
Pretrained Convolutional Neural Network namely AlexNet.