cat-dog-cnn

This project implements a Convolutional Neural Network (CNN) to classify images of cats and dogs.

The CNN is implemented with the deep learning framework PyTorch.

The data is taken from kaggle (https://www.kaggle.com/datasets/tongpython/cat-and-dog).

As part of the project, a Class Activation Map (CAM) is implemented to anaylze the features that are relevant to classify the images.