Estimating the effectiveness of alexnet in classifying tumor in comparison with resnet

The point of the review is to gauge the adequacy in characterizing the growth utilizing Customized AlexNet. The mammographic Image Analysis Society (MIAS) dataset has been gathered from kaggle.com which is a storehouse for our review. The proposed AlexNet classifier is contrasted and the current ResNet classifier for example size of 22, taken for each gathering. The dataset contains 5 attributes which are considered as input attributes to the classifiers. The pretest power simulation is 80%. The AlexNet achieved an accuracy 61.24% when compared to ResNet classifier (56.41%) with a significance of 0.00 (p