Skip to content

Handwritten Digit Recognition using Artificial Neural Networks (ANN) involves training a multi-class classification model to recognize and classify handwritten digits. The model is trained on a dataset of labeled images of handwritten digits, where each image is labeled with its corresponding digit.

Notifications You must be signed in to change notification settings

DevPatel1412/Hand-written-digit-recognition-using-ANN

Repository files navigation

HAND WRITTEN DIGIT RECOGNITON USING ANN

The deployed streamlit app link is:-https://hand-written-digit-recognition.streamlit.app/

Note:- The above link is for streamlit web app will required a wake up so if you want to see the web app you have to wait for sometime.

About

Handwritten Digit Recognition using Artificial Neural Networks (ANN) involves training a multi-class classification model to recognize and classify handwritten digits. The model is trained on a dataset of labeled images of handwritten digits, where each image is labeled with its corresponding digit.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published