Analysis of Various Pet Animals by Using Deep Learning Algorithm

Abstract

Digitalization in every where is unavoidable platform in present scenario and to contribute to pet animals this system focus on the pet animals identification for the purpose database taken from the kaggle and then preprocess those images and then extract the feature extraction can be made by using the convolutional neural networks (CNN) from that algorithm system train the input images along with the validation images and the test image which gives effective result in the identification of pet animal with the accuracy rate of 90% from the result.