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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 ...
WSAZ

Winchester Avenue Streetscape Improvements Project receives national recognition

ASHLAND, Ky. (WSAZ) - Winchester Avenue has gone through a transformation in recent years. Roundabouts, reverse angle-parking, and what city officials say is a more pedestrian friendly area were all ...
Forbes

ICE To Pay Up To $10 Million For Clearview Facial Recognition To Investigate Agent Assaults

As ICE ramps up its attempts to locate and deport undocumented immigrants, it’s faced a massive backlash in some parts of the U.S., including protests and, on occasion, attacks of ICE agents. Now, to ...
C&EN

Machine Learning-Enhanced Nanozyme Sensor Array for Accurate Multiple Quinolone Antibiotics Recognition

Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology ...
IEEE

Deep Learning for Handwritten Digit Recognition

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 ...
GitHub

A Deep Learning project for handwritten digit recognition using CNN and TensorFlow

This project implements a CNN-based image classification model using the MNIST dataset to recognize handwritten digits from 0 to 9. It is built using TensorFlow, trained in Google Colab, and ...