Learn With Jay on MSN

Mini-batch gradient descent in deep learning explained

Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of ...
Learn With Jay on MSN

Linear regression using gradient descent explained simply

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...
IEEE

Gradient Descent Algorithm based on Extended State Observer for Loss Minimization of Ultralocal Model Predictive Controlled PMSM Drives

Abstract: Hybrid loss minimization algorithms in electrical drives combine the benefits of search-based and model-based approaches to deliver fast and robust dynamic responses. This article presents a ...
GitHub

[2025] The Loss Landscape of XRD-Based Structure Optimization Is Too Rough for Gradient Descent

XRDの一致度をロス関数として勾配降下法で構造同定する手法の妥当性を検証した論文。XRD一致度での最適化はロス関数曲面が不連続で局所解が多く最適化が難しい。対称性を最適化に導入 ...
Visual Studio Magazine

Kernel Ridge Regression with Stochastic Gradient Descent Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...
Yardbarker

D-backs' Suffer Brutal Loss to Athletics as Descent Continues

The Arizona Diamondbacks came out of the Trade Deadline battered and decimated by departures. One of those departures was felt sorely on Friday as the D-backs lost 5-1 to the Athletics in Sacramento.
IEEE

AlphaGrad: Normalized Gradient Descent for Adaptive Multi-Loss Functions in EEG-Based Motor Imagery Classification

Abstract: In this study, we propose AlphaGrad, a novel adaptive loss blending strategy for optimizing multi-task learning (MTL) models in motor imagery (MI)-based electroencephalography (EEG) ...