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 ...

Abstract: Use of mathematical morphology (MM) in power system has been reported recently in open literature. However, MM has not been adequately discussed as a filtering tool for power system signals.

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...

Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What ...

The current release of this book can be found at here. This book was desigend originally for the undergraduete course ISE 3434 - "Deterministic Operations Research II" taught at Virginia Tech. I will ...