This project utilizes Convolutional Neural Networks (CNN) to build a model for classifying images of cats and dogs with an impressive 80% accuracy.
The model is trained on a large dataset of cat and dog images, enabling it to make predictions on new images with high precision.
The notebook provides a detailed implementation of the CNN algorithm and showcases the visualizations of the dataset, enhancing the understanding of the classification process.
It's an exciting project for all pet lovers! πΎπ·π
Share the joy of distinguishing between adorable felines and playful canines with FurFlix! πΎπ¬