📘 Fashion MNIST Classification :

📝 Introduction

This project implements a Fashion MNIST Classification system using the MNIST dataset. The model is trained to recognize Fashion objects like shirts,shoes,trousers etc. based on grayscale images of clothes. The project demonstrates the application of deep learning techniques for image recognition tasks.

📂 Table of Contents

• Introduction
• Features
• Installation
• Usage
• Project Structure
• Dependencies
• Examples
• Troubleshooting
• Contributors
• License

✨ Features

• Classification of Fashion Clothes
• Implementation in Jupyter Notebook for easy experimentation
• Deep learning model trained using standard datasets
• Visualizations of training performance and predictions

⚙️ Installation

Clone the repository and install the required dependencies:

git clone https://github.com/129Ashish/Fashion_MNIST_Classification.git
cd Fashion_MNIST_Classification
pip install -r requirements.txt

Make sure you have Python 3.7+ installed.

🚀 Usage

1. Open the Jupyter Notebook:

   jupyter notebook Fashion_MNIST_Classification.ipynb

2. Run the cells step by step to:
   • Load and preprocess the dataset
   • Train the neural network model
   • Evaluate accuracy on test data
   • Visualize predictions

📁 Project Structure

Fashion_MNIST_Classification/
│── Fashion_MNIST_Classification.ipynb  # Main notebook
│── requirements.txt                        # Project dependencies
│── README.md                               # Documentation

📦 Dependencies

Main dependencies (see requirements.txt for full list):

• numpy
• matplotlib
• Pytorch(deep learning framework)
• jupyter

Install all dependencies via:

pip install -r requirements.txt

🛠️ Troubleshooting

• Jupyter not found: Install with pip install notebook.
• Module errors: Re-run pip install -r requirements.txt.
• GPU not detected: Ensure TensorFlow GPU version and CUDA drivers are installed.

👨‍💻 Contributors

• @ash-iiiiish