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A deep learning project that recognizes handwritten digits with high accuracy using CNN and ViT models. It features real-time prediction via a canvas and supports image upload. Built using Python, ...

Contribute to Neerajkomatishetti/Handwritten-Digit-Recognition-Using-Various-CNN-in-a-streamlit-application development by creating an account on GitHub.

Technologies used: Python, Machine Learning –Build a handwritten digit recognition system capable of classifying handwritten digits using CNN. –Used the MNIST dataset includes images of handwritten ...

A deep learning project that classifies handwritten digits (0–9) using a Convolutional Neural Network (CNN) trained on the MNIST dataset. This project demonstrates the power of CNNs in solving image ...

Various ML models for handwritten digit recognition using the MNIST dataset. ... ←, ↓) using a CNN model trained on synthetic data and a Tkinter-based GUI. python recognition tensorflow ...

This project implements a Convolutional Neural Network (CNN) to recognize handwritten digits using the MNIST dataset. The model is trained to classify digits (0-9) and can predict user-uploaded images ...