TI's TMS320F28P550SJ MCU with an integrated neural processing unit is designed to run CNN models to help reduce latency and ...

This project aims to classify different types of flowers using Convolutional Neural Networks (CNN). CNNs are widely used for image classification tasks due ... or adaptive algorithms like Adam, with ...

The excellent local feature representation ability of convolutional neural network (CNN) makes it achieve good classification results in hyperspectral image classification ... several state-of-the-art ...

This paper explores population-based metaheuristic optimization algorithms for image classification networks. We propose a novel approach integrating a two-stage training technique with ...

A study by the universities of Cordoba and Seville develops a method that makes it possible to verify, easily and quickly, ...

“I don’t think I’d ever really thought about Cannes, or the film festival, before I went,” Ridgers, widely celebrated for his distinctive portraits of British subcultures, told CNN via email.

Yuka, which Kennedy has called “invaluable,” assigns health scores to food. But can it actually help people make better ...

CNN reported Sunday that the Trump administration was set to accept a plane from the Qatari royal family that will be retrofitted and used as Air Force One during the president’s second term ...

This repository contains the code and report for an image classification task using Convolutional Neural Networks (CNNs) on the CIFAR-10 dataset. The goal of this project was to build, train, and ...

This paper reviews the state-of-the-art in both the field of CNNs for image classification and object detection and ... including a timing analysis aimed at assessing their impact on CNN performance.

Abstract: Genetic Programming (GP) is a promising evolutionary machine learning technique for image classification, known for its ability to evolve flexible, effective, and interpretable models.

With the development of convolutional neural networks, there are more and more different remote sensing image classification algorithms. In order to improve the accuracy of remote sensing image ...