Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

Background: Radial artery access is the preferred approach for coronary procedures, however, radial artery spasm (RAS) and radial artery occlusion (RAO) remain frequent complications, and no ...

In this work, we introduce a new method ability radial basic function-partial least square (RBF-PLS) with high accuracy and precision in QSPR studies. Three quantitative structure-propertty ...

Cucumber cultivation faces two pressing challenges: balancing shoot architecture with drought tolerance. New research has uncovered that the CsTIE1–CsAGL16 module serves as a pivotal regulator in ...

Hi, thank you for this great package! I was wondering whether it would be straightforward to combine this package with Lux.jl to build a radial basis function network (RBFN). Has anyone tried that?

The Japan Network Function Virtualization (NFV) market is experiencing unprecedented growth, driven by the increasing adoption of cloud-based networking, the rapid deployment of 5G technology, and the ...

Recent work has established an alternative to traditional multi-layer perceptron neural networks in the form of Kolmogorov-Arnold Networks (KAN). The general KAN framework uses learnable activation ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The application presented here utilizes the R Shiny platform to ...