Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, explains how it builds on Adam with Nesterov momentum, and shows you how to ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work with ...

But in many cases, it doesn’t have to be an either/or proposition. Properly optimized, Python applications can run with surprising speed — perhaps not Java or C fast, but fast enough for Web ...

When it comes to teaching math, a debate has persisted for decades: How, and to what degree, should algorithms be a focus of learning math? The step-by-step procedures are among the most debated ...

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind Adadelta, why it was introduced as an improvement over Adagrad, and guides you ...