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: Distributed optimization provides a framework for deriving distributed algorithms for a variety of multi-robot problems. This tutorial constitutes the first part of a two-part series on ...

Pyrcz, M.J., Jo. H., Kupenko, A., Liu, W., Gigliotti, A.E., Salomaki, T., and Santos, J., 2021, GeostatsPy Python Package: Open-source Spatial Data Analytics and ...

Abstract: The rise in deep neural networks (DNNs) has led to increased interest in explaining their predictions. While many methods for this exist, there is currently no consensus on how to evaluate ...

The MMA algorithm is used largely in the topology optimization field. Here we have a python implementation of the algorithm. To understand the API, kindly see mma_test.py. If you use this code in your ...

When I was new to programming, I focused way too much on learning the syntax, especially the brackets, the semicolons, and ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Andrew Bloomenthal has 20+ years of editorial experience as a financial journalist and as a financial services marketing writer. Khadija Khartit is a strategy, investment, and funding expert, and an ...