Cloth Prediction Model with PyTorch

Overview

This project implements a cloth prediction model using PyTorch, trained on the FashionMNIST dataset. The model is designed to classify different types of clothing items with high accuracy.

Features

• Utilizes PyTorch for building and training the machine learning model.
• Achieves accurate classification of clothing items from the FashionMNIST dataset.
• Provides a straightforward example of implementing a deep learning model for image classification.

Technologies Used

• Python: The project is written in Python.
• PyTorch: PyTorch is used for building and training the machine learning model.
• FashionMNIST Dataset: The model is trained on the FashionMNIST dataset.

Installation

1. Clone the repository:

   git clone https://github.com/amith7025/cloth-prediction-model.git
   cd cloth-prediction-pytorch