Confused about activation functions in neural networks? This video breaks down what they are, why they matter, and the most common types — including ReLU, Sigmoid, Tanh, and more! #NeuralNetworks ...

ABSTRACT: 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 ...

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 ...

ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...

Neural networks are one typical structure on which artificial intelligence can be based. The term neural describes their learning ability, which to some extent mimics the functioning of neurons in our ...

Department of Physical Therapy, University of Nevada, Las Vegas, Las Vegas, NV, United States Patellofemoral pain (PFP) is often linked to knee valgus during weight-bearing activities, commonly ...

> Oster, Mathias, Luca Saluzzi, and Tizian Wenzel. "A comparison study of supervised learning techniques for the approximation of high dimensional functions and feedback control." arXiv preprint arXiv ...

Abstract: The lack of a certain standard in modeling Artificial Neural Networks (ANNs) sometimes provides successful results while sometimes it causes unsuccessful results depending on the changes in ...

Background: The success and failure of extubation of patients with acute respiratory failure is a very important issue for clinicians, and the failure of the ventilator often leads to possible ...