MNIST-Handwritten-Digits-Classifier
PublicThis project is a handwritten digit classifier built with PyTorch and trained on the MNIST dataset. It uses a Convolutional Neural Network (CNN) to recognize digits from 0 to 9 with high accuracy. The project features a Streamlit web app that allows users to upload their own handwritten digit images and get real-time predictions.
cnncomputervisiondeeplearningdigitrecognitionimageclassificationmachinelearningmnistpytorchstreamlitapp
Creat：2024-09-15T15:00:35
Update：2025-02-04T17:04:42
https://dubeyayushi-mnist-handwritten-digits-classifie-mnist-app-plssff.streamlit.app/
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