Deep Learning with Yacine on MSN

Gradient Descent from Scratch in Python – Step by Step Tutorial

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...
IEEE

Online Projected Gradient Descent for Grid Regulated Power Point Tracking Under Highly Fluctuating Weather and Load

Abstract: The heavy reliance on Photovoltaic (PV) systems to cost-effectively meet the increasing electricity demand imposes new challenges to guarantee the operation at maximum power point (MPP) ...
Frontiers

Evaluating machine learning models for stroke prediction based on clinical variables

Introduction: Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as ...
IEEE

On the Convergence of (Stochastic) Gradient Descent for Kolmogorov–Arnold Networks

Abstract: Kolmogorov–Arnold Networks (KANs), a recently proposed neural network architecture, have gained significant attention in the deep learning community, due to their potential as a viable ...