This repository contains a powerful Convolutional Neural Network (CNN) classifier that can distinguish between images of dogs and cats with high accuracy. The model is trained on the Kaggle "Dogs vs. Cats" dataset, which consists of 25,000 training images and is capable of achieving a validation accuracy of 97.56%!
- Robust CNN architecture
- Data augmentation for improved generalization
- Model visualization for better understanding
- Easy prediction of single images
- Impressive validation accuracy
- Pre-trained model option
Happy classifying! 🐾