Skip to content

Latest commit

 

History

1 Commit

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Handwrittena-Digit-Recognition-Model

Description

This project implements a convolutional neural network (CNN) to classify handwritten digits from the MNIST dataset. The model is trained on the MNIST training set and evaluated on the test set. The project demonstrates the application of deep learning techniques for image classification tasks.

Setup & Installation

Make sure you have the latest version of Python installed.

git clone <repo-url>
pip install -r requirements.txt

Running The App

python main.py

About

This project implements a convolutional neural network (CNN) to classify handwritten digits from the MNIST dataset. The model is trained on the MNIST training set and evaluated on the test set. The project demonstrates the application of deep learning techniques for image classification tasks.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages