Abstract: We propose the Physics-Informed Neural Network-driven Sparse Field Discretization method (PINN-SFD), a novel self-supervised, physics-informed deep learning approach for addressing the ...

Abstract: Accurately predicting the complex networks dynamics is a challenging task. Many studies have shown that data-driven frameworks offer promising solutions to this issue. However, existing ...

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 ...