Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

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 ...

When managing associate Tanya Sadoughi found a recurring problem in the banking and finance practice, she put her newfound ...

Abstract: In recent years, deep learning-based methods have been introduced for solving inverse scattering problems (ISPs), but most of them heavily rely on large training datasets and suffer from ...

Abstract: In this article, we propose an adaptive neural network event-triggered control (ETC) to suppress the vibration of a high-rise building under uncertainty. This neural network efficiently ...