School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, People’s Republic of China ...

This project involves implementing the forward pass of an 18-layer Convolutional Neural Network (CNN) in MATLAB for object detection. The goal is to classify 32x32x3 images into one of ten categories, ...

Abstract: Nowadays Convolutional Neural Networks (CNNs) are being employed in a ... This paper reviews the state-of-the-art in both the field of CNNs for image classification and object detection and ...

LeNet, developed by French computer scientist Yann Lecun, was the frontrunner to the convolutional neural network ... in medical image computing. It describes the various deep learning approaches for ...

With the development of artificial intelligence, the algorithms of convolutional neural network ... Image classification is the popular application of CNN algorithms. Recently, scientists tried to ...

This has motivated new research on soft computing methods that utilize high-power data processing, computer vision, and deep learning (DL) in the form of convolutional neural networks ... detection of ...

Abstract: The convolutional neural networks (CNNs) have recently demonstrated to be a powerful tool for object detection. However, with the complex scenes in remote sensing images, feature extraction ...