IEEE

Comparative Analysis of Handwritten Digit Recognition using MLP, CNN, LeNet-5 Model’s

Abstract: The analysis of three distinct neural network architectures for Handwritten Digit Recognition (HDR): Multi-Layer Perceptron (MLP), Simple Convolutional Neural Network (CNN), and LeNet-5. The ...
IEEE

FPGA Implementation of CNN for Handwritten Digit Recognition

Abstract: Convolutional neural networks (CNN) have been used very successfully in the field of handwritten digit recognition. CNN is difficult to deploy on the embedded platform because of its large ...
Task & Purpose

Long-dismissed ‘Gulf War Illness’ finally recognized with international medical code

Veterans who have long sought recognition for a medical condition linked to their service in the Gulf War earned a major victory last week. The Centers for Disease Control and Prevention recently ...
GitHub

roei-asher/Bootstrap-Digit-Classifier

A C++ implementation of a fully-connected neural network for handwritten digit recognition (0-9), built entirely from scratch without using external machine learning libraries. This project was ...