Convolutional Neural Network (CNN) is the state-of-the-art deep learning approach used in
various computer vision algorithms due to their high accuracy. To ensure programmable …

With the rapid development of convolutional neural networks (CNN), the design of hardware
accelerators for CNN calculations has become a major focus of current research. However …

Convolutional Neural Networks (CNNs) are a very popular class of artificial neural networks.
Current CNN models provide remarkable performance and accuracy in image processing …

Convolutional neural networks (CNNs) have achieved notable success in the field of
computer vision, ranging from image classification to object detection. However …

Convolutional neural network is a class of deep neural networks that has made a great
breakthrough in image recognition. CNNs are commonly used to detect and classify visual …

Convolutional Neural Network (CNN) is considered one of the significant technological
innovations in computer vision tasks. With the popularization of CNN, research on CNN has …

Convolutional Neural Networks get increasingly importance nowadays as they enable
machines to interact with the surrounding environment, which paves the way for computer …

The development of Convolutional Neural Network (CNN) contributes to breakthroughs
made in the field of artificial intelligence. Compared with traditional algorithms, CNN has …

Deep learning algorithms have complex network structures and numerous parameters, and
are typical computation-intensive and data-intensive applications. Due to the large amount …

At present, convolutional neural networks have good performance while performing the
object recognition tasks, but it relies on GPUs to solve a large number of complex …