Improved Semi Supervised Image Classification using GAN

Image classification is the process of categorizing images into one or more pre-defined classes or categories based on the visual content of the image. The goal of image classification is to create a model that can accurately predict the class of an input image that it has not seen before. In this paper, a semi-supervised model has been proposed for image classification that uses Generative Adversarial Network (GAN) that can give excellent results using only few labelled training data.