Abstract: This paper introduces Capsule Kolmogorov-Arnold Networks (CapsuleKAN), a novel capsule network architecture. It advances traditional capsule networks by enhancing convolutional and fully ...

Abstract: Cross-domain fault diagnosis (CDFD) leveraging domain generalization (DG) has attracted increasing attention due to its potential to generalize diagnostic knowledge to unseen data domains.

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 ...