Image Recognition, Classification and Analysis Using Convolutional Neural Networks

Abstract

This paper presents a comprehensive discussion and analysis of the various architectures of Convolutional Neural Networks for image classification. This paper intends to implement and analyze the performance of AlexNet, VGG16, VGG19 and ResNet50 as Image Classifiers on the dataset CIFAR10. Accuracy, Loss and Confusion Matrix were used as metrics to analyze the performance.