Convolutional neural networks (CNNs) have been exten-sively applied for image
recognition problems giving state-of-the-art results on recognition, detection, segmentation …

Advancement in video and image processing increasing day-to-day life. To keep track on
image and video is major challenge nowadays to overcome this deep learning is used. This …

With the development of computer technology, the applications of machine learning are
more and more extensive. One of those applications is image recognition by using …

With the deep learning (DL) sweeping the world. Traditional image classification methods
are difficult to process huge image data and cannot meet people's requirements for image …

Advances in GPU, parallel computing and deep neural network made rapid growth in the
field of machine learning and computer vision. In this paper, we try to explore convolution …

Abstract A Convolutional Neural Network (CNN) is an algorithm of Deep Learning. It reads
image as input. Allocate weights and biases to several objects in image. It identifies the …

The field of computer vision has seen a significant development by used Convolutional
Neural Networks. Recognize for objects are the essential parts of a computer vision. The …

As an important research achievement in the field of brain like computing, deep convolution
neural network has been widely used in many fields such as computer vision, natural …

With the advent of technologies, real-time data is essentially required for future
development. Everyday, a huge amount of visual data is being collected, but to use it …

Convolutional neural network is one of the most important networks in deep learning.
Different from common artificial neural network, the main characteristic of convolutional …