This project focuses on the study of Convolutional Neural Networks (CNN) for the classification of images depicting Cats and Dogs. The analysis includes the fundamental theory, the impact of regularization methods, the influence of increasing the network's depth and the number of filters and the a 5-fold Cross-Validation procedure.