PyTorch Basic MNIST Project

A simple MNIST project using PyTorch and Jupyter Notebooks.

📁 Repository Structure

• model_trainning_and_testing.ipynb: The notebook containing the model architecture, training loop, and evaluation test accuracy.
• model_prediction.ipynb: The notebook containing the model architecture and model prediction.
• model_wrong_prediction_identifying.ipynb: The notebook containing all wrong predictions of model.
• requirements.txt: List of Python dependencies required to run the project.

🚀 Getting Started

1. Prerequisites

Ensure you have Python 3.8+ installed. Using a virtual environment is highly recommended.

2. Installation

Clone the repository and install the necessary packages using the pip package manager:

# Clone the repository
git clone https://github.com/akarshit-1609/Pytorch_Basic_MNIST_Project.git
cd Pytorch_Basic_MNIST_Project

# Install dependencies
pip install -r requirements.txt

3. Usage

Launch the Jupyter Notebook interface to interact with the code:

jupyter notebook

• Once the browser opens, select notebook to begin.

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License

This project is licensed under the MIT License. See the LICENSE file for details.