The AttendSeg deep learning model performs semantic segmentation at an accuracy that is almost on-par with RefineNet while cutting down the number of parameters to 1.19 million.

And “deep reinforcement learning,” as implemented in autonomous robots, self-driving cars, and creation of images, voices, and videos, is far from being widely available.

A new technical paper titled “A Universal AI-Powered Segmentation Model for PCBA and Semiconductor” was published by researchers at Nordson Corporation. “This paper introduces a novel universal deep ...

Study in Npj Digital Medicine evaluates COMPOSER, a deep learning model for early sepsis prediction, showing its effectiveness in improving patient care and reducing in-hospital mortality rates.

Contribute to DOsinga/deep_learning_cookbook development by creating an account on GitHub. ... we'll use a pretrained word embedding model ... but also a lot easier to follow, so a good way to get ...

This repository provides an app for exploring the predictions of an image classification network using several deep learning visualization techniques. Using the app, you can: explore network ...

Artificial intelligence, machine learning and deep learning are some of the biggest buzzwords around today. This guide provides a simple definition for deep learning that helps differentiate it ...

Researchers have leveraged deep learning techniques to enhance the image quality of a metalens camera. The new approach uses artificial intelligence to turn low-quality images into high-quality ...