Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...

Abstract: This paper introduces the application of attentiontemporal graphic neural networks to enhance traffic flow and reduce delay in software-defined networks (SDN). Graphical Neural Networks (GNN ...

Abstract: Pytorch_EHR is a codebase enabling fast prototyping of deep learning-based predictive models using electronic health records structured data. Rather than a collection of vertical pipelines ...

The fusion of artificial neural networks (NNs) with photonics has generated significant implications across various scientific fields and industries. A new tutorial review published in the journal ...

ABSTRACT: Most modern face recognition and classification systems mainly rely on hand-crafted image feature descriptors. In this paper, we propose a novel deep learning algorithm combining ...

ABSTRACT: Intelligent equipment is a kind of device that is characterized by intelligent sensor interconnections, big data processing, new types of displays, human-machine interaction and so on for ...