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

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...

A comprehensive tutorial repository for learning deep learning model optimization techniques, including network tuning, backpropagation optimization, overfitting management, and root cause analysis.

Abstract: Evolutionary computation is the study of biologically motivated computational paradigms which exert novel ideas and inspiration from natural evolution and adaptation. The applications of ...

Gaming myths persist across forums, YouTube tutorials, and social media posts, often misleading players into chasing tweaks that deliver little to no improvement. FPS myths about RAM speed, VSync ...

Samsung Display has unveiled a new 77-inch QD-OLED TV panel capable of reaching up to an impressive 4,500 nits of peak ...

One of the primary methods of creating and securing blockchain networks and generating digital assets is cryptocurrency ...

Abstract: Mathematical optimization is now widely regarded as an indispensable modeling and solution tool for the design of wireless communications systems. While optimization has played a significant ...

What will high-performing content look like in 2026? Experts share how to adapt, lead, and prove the value of human ...

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 ...

Video editing today sits at a crossroads. Creators want professional results, but few have the time—or patience—for overly ...