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 ...
IEEE

DNA Logic Circuits Based on Accurate Step Function Gate

Abstract: DNA molecular as the material for logical computing and information storage has been widely applied. An important mechanism for DNA logical computing is the toehold-mediated DNA Strand ...
Analytics Insight

How to Manage Large Python Datasets Step by Step: A Beginner’s Guide

Overview: Prior knowledge of the size and composition of the Python dataset can assist in making informed choices in programming to avoid potential performance ...