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, ...
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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 ...