In recent years, convolutional neural networks (CNNs) have been widely used in various
computer visual recognition tasks and have achieved good results compared with traditional …

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

In computer vision, a series of exemplary advances have been made in several areas
involving image classification, semantic segmentation, object detection, and image super …

The convolutional neural network (CNN) is the type of deep neural networks which has been
widely used in visual recognition. Over the years, CNN has gained lots of attention due to its …

Convolutional neural network (or CNN) is a special type of multilayer neural network or deep
learning architecture inspired by the visual system of living beings. The CNN is very much …

Deep learning is an evolving expanse of machine learning. Machine learning is observing
its neoteric span as deep learning is steadily becoming the pioneer in this field. With the …

With the increase of the Artificial Neural Network (ANN), machine learning has taken a
forceful twist in recent times. One of the most spectacular kinds of ANN design is the …

CNNs have rapidly become state-of-the-art frameworks for various applications used in
image classification. We typically need big, ground-based training data set so as to use …

Deep learning is a subfield of machine learning and plays a vital role in the area of image
processing, natural language processing, computer vision, etc. As compared to traditional …

Convolutional neural networks (CNNs) are one of the main types of neural networks used for
image recognition and classification. CNNs have several uses, some of which are object …