Deep Learning with Yacine on MSN

Nesterov accelerated gradient (NAG) from scratch in Python – step-by-step tutorial

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...
GitHub

Azure Functions Python Library

Python support for Azure Functions is based on Python 3.10, 3.11, 3.12, and 3.13 serverless hosting on Linux, and the Functions 2.x (EOL), 3.x (EOL) and 4.0 runtime. This project welcomes ...
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 ...