Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks you through loading the MNIST dataset, creating a neural network, training ...

Bangla Handwritten Character Recognition (BHCR) remains challenging due to complex alphabets, and handwriting variations. In this study, we present a comparative evaluation of three deep learning ...

This project demonstrates a complete AI workflow — from training a CNN model to deploying it as an interactive web app. Handwritten-Digit-Recognition-App/ │ ├── app.py # Streamlit UI for drawing & ...

Abstract: Handwritten digit recognition plays a crucial role in applications like automated form processing and character recognition software. This study explores how well the traditional K-Nearest ...

First, we are using the full SVHN dataset, this dataset needs to be prepared, it contains multiple classes for folders, etc. the key to dealing with it is to be able to extract the images' ...

Abstract: In the digital age, handwritten digit recognition plays a crucial role in various automation systems, ranging from simple form data automation to complex security systems. Deep learning, ...