Abstract: Neural Style Transfer (NST) has emerged as a powerful technique for artistic image synthesis by fusing the base image with style source. In this study, we present a comparative analysis of ...

A number of hardware accelerators have been proposed to speed up deep neural network (DNN) computations and enhance energy efficiency. DNN accelerators offer high-throughput and energy-efficient ...

Subsequently, we delve into the current mainstream deep learning methods, including Autoencoder, Generative Adversarial Networks (GANs) and Convolutional Neural Networks (CNNs), and their applications ...