Two text blocks, one with A and another with a Chinese character, connected by an arrow. Below, six person icons and a neural network diagram. Ideal for translation, communication, AI, neural ...

FP has a very complex degradation process. Merging with Fourier transforms and pupil aperture scanning causes difficulty in reconstructing high-resolution images by the commonly used deep neural ...

Abstract: As the intricacy of network models escalates and the volume of data swells exponentially, the demands on the processing capabilities of neural networks have become increasingly rigorous.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...

These limits give rise to next-generation analog neuromorhpic hardware platforms, such as optical neural networks (ONNs), for high parallel, low latency, and low energy computing to boost deep ...

Methods: We developed a computational MDA prediction method called GPUDMDA by combining graph attention autoencoder, positive-unlabeled learning, and deep neural network. First, GPUDMDA computes ...

School of Management, Dalian Polytechnic University, Dalian 116034, P. R. China School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, P. R. China ...