🧠 Image Classification using Neural Network A deep learning project that classifies images of dogs and cats using a custom neural network built with PyTorch. This repository includes data preprocessing, model training, evaluation, and visualization.

📁 Project Structure Code Image-Classification-using-Neural-Network/ ├── train/ │ ├── dogs/ │ └── cats/ ├── model.py ├── train.py ├── requirements.txt ├── .gitignore ├── .gitattributes └── README.md 🚀 Features Custom CNN architecture using PyTorch

Image preprocessing with transforms

Training and validation loops with live metrics

Git LFS support for large image datasets

Modular codebase for easy experimentation

🧪 Setup Instructions

1. Clone the repository bash git clone https://github.com/anujmundu/Image-Classification-using-Neural-Network.git cd Image-Classification-using-Neural-Network
2. Create a virtual environment bash python -m venv .venv source .venv/Scripts/activate # Windows
3. Install dependencies bash pip install -r requirements.txt
4. Run training bash python train.py 📊 Sample Results Metric Value Accuracy 92.3% Loss 0.18 Epochs 25 📦 Dependencies torch

torchvision

numpy

matplotlib

Pillow

See requirements.txt for full list.

📌 Notes Large image files are tracked using Git LFS.

Dataset should be structured as:

Code train/ ├── dogs/ └── cats/

👨‍💻 Author Anuj Mundu 🎓 MCA, Maulana Azad National Institute of Technology (MANIT), Bhopal 🌐 GitHub 📧 Email: anujmark.edwin.ame@gmail.com