Abstract: Attendance is taken as a important aspect in learning process but manual methods are slow. This paper describes the design, implementation, and assessment of an edge-based face recognition ...

The TensorFlow Model Garden is Google’s open-source hub for high-performance machine learning models in vision and NLP, offering both official and research implementations. It provides a powerful ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

This is the code repository for Hands-On Computer Vision with TensorFlow 2 by Benjamin Planche and Eliot Andres, published by Packt. This book is a practical guide to building high performance systems ...

Npj Digital Surgery invites submissions for a special collection on Computer Vision in Surgical Practice. As surgical technology evolves, computer vision emerges as a powerful tool to enhance ...

Computer vision artificial intelligence can improve patient care, but reaping its full benefits relies on careful training, data protection and validation by medical professionals. Computer vision is ...

It would be nice to know exactly on which versions of pytorch and tensorflow these tutorials were tested. Also, do you use tensorflow ? by looking at the code it does seems so..

Abstract: Industry 4.0 have transformed the fabrication industry by increasing productivity, product quality, and reducing production costs. The application of robotic arms in fabrication has become a ...

In this excellent tutorial video presentation below, Magnus Erik Hvass Pedersen demonstrates the basic workflow of using TensorFlow with a simple linear model. After loading the so-called MNIST ...