Here's a detailed walkthrough of a simple neural network learning $( y = x_1 + x_2 )$ using backpropagation.

A Fortran-based feed-forward neural network library. Whilst this library currently has a focus on 3D convolutional neural networks (CNNs), it can handle most standard hidden layer forms of neural ...

The seven decades of "artificial intelligence" have been marked by exaggerated promises, surprising developments and ...

Advances In Neural Networks,Back Propagation Neural Network,Backpropagation,Bad Data,Convergence Rate,Correct Data,Correction Algorithm,Crossover Process,Data Revisions,End Of Line,Gene Regulatory ...

Generative AI is revolutionizing the field of cybersecurity by providing advanced tools for threat detection, analysis, and ...

1 School of Transport and Logistics, Guangzhou Railway Polytechnic, Guangzhou, China 2 School of Transport and Communications, Shanghai Maritime University, Shanghai, China The 21st-century Maritime ...

Abstract: This paper discusses finite-time synchronization of complex-valued neural networks (CVNNs) with infinite delays ... Finally, to confirm the effectiveness of the theoretical outcomes, two ...