This project contains implementations and experiments comparing two architectures for classifying cats and dogs: LeNet: A classic, lightweight architecture originally designed for digit recognition. AlexNet : A deeper convolutional network with advanced preprocessing, inspired by architectures trained on ImageNet. Both models were trained on the same Cats vs Dogs dataset for a fair comparison.