Frontiers

Formal Verification of Neural Networks-Based Control Architecture for Safety-Critical Autonomous Systems

With increase in the applications of autonomous systems, in both civilian and military domains, it has become increasingly ...
Deep Learning with Yacine on MSN

Understanding Forward Propagation in Neural Networks with Python – Step by Step

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs ...
Deep Learning with Yacine on MSN

Learn Backpropagation Derivation Step by Step – Neural Networks Made Easy

Master the derivation of backpropagation with a clear, step-by-step explanation! Understand how neural networks compute gradients, update weights, and learn efficiently in this detailed tutorial. #Mac ...
IEEE

Revisiting Tropical Polynomial Division: Theory, Algorithms, and Application to Neural Networks

Abstract: Tropical geometry has recently found several applications in the analysis of neural networks with piecewise linear activation functions. This article presents a new look at the problem of ...
IEEE

Microstrip Patch Antenna Design Using a Four-Layer Feed Forward Artificial Neural Network Trained by Levenberg-Marquardt Algorithm

Abstract: This study proposes an efficient Artificial Neural Network (ANN) model for predicting the dimensions and feed point of microstrip patch antennas with three types of geometrical shape. The ...
C&EN

How to Select the Proper Gold Permittivity for Generating Training Data for Deep Neural Networks for Analysis of the Nanoparticle Colloid Size Distributions from Their UV–Vis ...

Institute of Materials Science of Kaunas University of Technology, K. Baršausko St. 59, Kaunas LT-51423, Lithuania Department of Physics, Kaunas University of Technology, Studentų St. 50, Kaunas ...
GitHub

Dense_NN is an EigenNET project for training dense-type neural networks implemented in C++.

Where can I find which file(s)? Dense_NN.exe is installed in the bin directory. The training and test files must be located in this directory. The training process generates two files: ...
C&EN

Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network

Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...