This research is all about a study of image classification by using the Deep learning or also called as deep neural network (DNN). We use Python as a programming language. The input data focuses in images the category where there are five types of different images that have been used in this paper. for the training process Deep learning has been chosen as the best option because it produces a high accuracy percentage. In this we first load the data and later we preprocess, it and then change it to the gray scale and then we apply DNN to it and find the required prediction based on the data given
Volume 12 | Issue 6
Pages: 1-10
DOI: 10.5373/JARDCS/V12I6/S20201001