Image Classification Using CNN Algorithm
Jan 2023
• Deep Learning has emerged as a new area in machine learning and is applied to a number of signals and image applications.
• The main purpose of the work presented in this paper, is to apply the concept of a Deep Learning algorithm namely, Convolutional neural networks (CNN) in image classification.
• The algorithm is tested on various standard datasets, like remote sensing data of aerial images (UC Merced Land Use Data set) and scene images from SUN database.
• The performance of the algorithm is evaluated based on the quality metric known as Mean Squared Error (MSE) and classification accuracy.
• The graphical representation of the experimental results is given on the basis of MSE against the number of training epochs