Paws And Reflect: A Comparative Study of Deep Learning Techniques For Cat Vs Dog Image Classification

Abstract

The main purpose of developing Cat vs Dog Image Classification project is to classify the image between cat and dog. It uses Convolutional Neural Network i.e., CNN which is algorithm taking an image as input then assigning weights and biases to all the aspects of an image and thus differentiates one from the other. It has been built on google collab which is an online platform for building machine learning projects. This Cat vs Dog Image Classification project also include the graphs showing the accuracy and loss of training and validation set.

Keywords: Image Classification, Deep Learning Techniques, Convolutional Neural Network (CNN), Image classification, Google collab, Machine learning projects, Accuracy and Loss, Training and Validation set

JEL Classification: O3