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 ...

New facial-recognition tools being tested at Orlando International Airport could soon be keeping track of travelers at departure gates across the country. By Christine Chung Reporting from Orlando, ...

MNIST Digit Classifier - Deep Learning Web Application A handwritten digit classification system using Deep Neural Networks (DNN) deployed as an interactive Streamlit web application. Status: Ready to ...

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 ...

Introduction: The COVID-19 pandemic accelerated global online education, which faces “shallow learning” challenges. Deep learning is key to student competencies. Based on sociocultural theory, this ...

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 ...