Recently, there has been more drama in the Kennedy Center’s offices than in its performance spaces. That was certainly the ...

Get up and running with routes, views, and templates in Python’s most popular web framework, including new features found ...

Abstract: This paper compares the performance of activation function hardware under exponential function approximation techniques. The activation function is a key component of deep neural networks, ...

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 ...

Department of Orthopedic Surgery, School of Medicine, University of California, San Diego, San Diego, CA, United States Nutrient availability is a strong determinant of cell function. Immune cells, ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Abstract: In deep learning, activation functions (AFs) influence a model’s performance, convergence rate, and generalization capability. Conventional activation functions such as ReLU, Swish, ELU, and ...

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 ...