In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or a snapshot of the ocean's surface, including peaks and valleys due to ...

Abstract: Deep metric learning (DML) has been widely applied in various tasks (e.g., medical diagnosis and face recognition) due to the effective extraction of discriminant features via reducing data ...

This repository contains the implementation of the paper of paper Deep Reinforcement Learning for Service Function Chain Placement with Graph Attention and Transformer Encoder. In this paper, we ...

Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is the ...

Understand what activation functions are and why they’re essential in deep learning! This beginner-friendly explanation covers popular functions like ReLU, Sigmoid, and Tanh—showing how they help ...

Introduction: Abnormalities in the function and structure of the left atrium, called atrial cardiopathy, are a precursor of atrial fibrillation (AF) and an important risk factor for several other ...

Currently, all deep learning estimators only expect training input & output data, but having an option to pass validation data would lead to better performance and ...