The success of deep learning has fast paced the evolution of current technology at
unprecedented rate. In particular, deep convolutional meural networks (CNNs) has gained a …

The success of deep learning has fast paced the evolution of current technology at
unprecedented rate. In particular, deep convolutional neural networks (CNNs) has gained a …

In the field of artificial intelligence, deep convolutional neural network models are very
popular because they can yield results close to those of humans. Depending on the …

Designing efficient neural network architectures is a widely adopted approach to improve
efficiency, besides compressing an existing deep neural network. A CNN (Convolutional …

Despite their outstanding success in solving complex computer vision problems, Deep
Neural Networks (DNNs) still require high-performance hardware for real-time inference …

Convolutional neural network (CNN) becomes more and more popular as it has
demonstrated great success in many visual content-oriented applications such as computer …

The development of lightweight networks makes neural networks more efficient to be widely
applied to various tasks. Considering the deployment of hardware like edge devices and …

Deep convolutional Neural networks (CNN) has recognized much advances in recent years.
Many CNN models have been proposed in few years ago which focused by first on …

Deep convolutional neural networks have achieved much success in many computer vision
tasks. However, a network has millions of parameters which limit its inference speed and …

While deep neural networks have been shown in recent years to outperform other machine
learning methods in a wide range of applications, one of the biggest challenges with …