IEEE

Leveraging Transfer Learning and Mobile-Enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition

Abstract: The study explores the integration of transfer learning (TL) with mobile-enabled convolutional neural networks (MbNets) to enhance Arabic Handwritten Character Recognition (AHCR). Addressing ...
IEEE

MNSIT Handwritten Digit Recognition using CNN

Abstract: This research study uses the MNIST dataset to investigate how Convolutional Neural Networks (CNN) might be used to recognize handwritten numbers. From collecting data to evaluating models, ...
Hosted on MSN

Digit recognition with deep learning — PyTorch beginner project

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 ...
WXXI

Wegmans using facial recognition technology in 'a small fraction' of stores across multiple states

Wegmans is responding to reports about the use of facial recognition cameras in some of its stores, saying it has been deployed across a handful of states to identify people "previously flagged for ...