This project demonstrates a custom image classification model built using PyTorch. It uses a Convolutional Neural Network (CNN) to classify images of animals into predefined categories.
- Custom CNN built using PyTorch
- Model training and validation with accuracy tracking
- Optimizer: Adam
- Techniques used: Batch Normalization
- Easily extendable to new datasets or classes