Deep Learning with Yacine on MSN

Adadelta optimizer explained – Python tutorial for beginners & pros

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...
Deep Learning with Yacine on MSN

Nadam optimizer explained: Python tutorial for beginners & pros

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

Hardware Self-Organizing Map With Dithered Step Neighborhood Function

Abstract: In this paper, a hardware-based SOM architecture with a dithered step (DS) neighborhood function is introduced. In the DS function, dithering is added to a conventional step neighborhood ...
GitHub

HMAC-based Key Derivation Function (HKDF) RFC 5869

Add dependency to your pom.xml (check latest release): HKDF follows the "extract-then-expand" paradigm, where the KDF logically consists of two modules. To "extract" (condense/blend) entropy from a ...