Skip to content
This repository has been archived by the owner on Dec 21, 2024. It is now read-only.

Live demonstration of a neural network for classifying handwritten digits from the MNIST dataset, complete with code, instructions, and a hands-on experience for understanding and implementing image classification using neural networks.

License

Notifications You must be signed in to change notification settings

EliasDeHondt/MNIST-ANN-Live-Demo

Repository files navigation

logo

💙🤍README🤍💙

📘Table of Contents

  1. 📘Table of Contents
  2. 🖖Introduction
  3. 📦Extra
    1. 📚Documentation
  4. 🔗Links

🖖Introduction

I kindly request your thorough examination and absorption of the comprehensive documentation incorporated within the confines of this repository. Your diligent review of the diverse materials provided herein will undoubtedly enhance your understanding of the intricacies and nuances associated with the contents therein.

Please also see following documents:

📦Extra

📚Documentation

  • Linux:

    • Set up environment:
    sudo apt-get update -y && sudo apt-get upgrade -y
    sudo apt install git python3-pip -y
    git clone https://github.com/EliasDeHondt/MNIST-ANN-Live-Demo.git
    cd MNIST-ANN-Live-Demo
    pip3 install -r requirements.txt
    python.exe -m pip install --upgrade pip
    • Run the program:
    python3 wsgi.py
  • Windows:

    • Set up environment:
    choco install python git -y
    git clone https://github.com/EliasDeHondt/MNIST-ANN-Live-Demo.git
    cd MNIST-ANN-Live-Demo
    pip install -r requirements.txt
    python.exe -m pip install --upgrade pip
    • Run the program:
    python wsgi.py

🔗Links

About

Live demonstration of a neural network for classifying handwritten digits from the MNIST dataset, complete with code, instructions, and a hands-on experience for understanding and implementing image classification using neural networks.

Topics

Resources

License

Security policy

Stars

Watchers

Forks