Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
GitHub

Vectra: a local vector database

Vectra ships an llms.txt file that gives coding agents everything they need to integrate Vectra into your project. Point your agent at it and let it do the work: Read ...
IEEE

On the Convergence, Implicit Bias, and Edge of Stability of Gradient Descent in Deep Learning: Reviewing recent progress [Special Issue on the Mathematics of Deep Learning]

Abstract: Deep neural networks (DNNs) trained via gradient descent (GD) with random initialization and without any regularization enjoy good generalization performance in practice despite being highly ...
IEEE

Multiple Target Recognition Within SAR Scene Achieved Using YOLO and Explanability Investigated Using Gradient-Free Visualisation

Abstract: Detecting multiple targets of interest within a Synthetic Aperture Radar (SAR) scene is the most commonly addressed problem in Automatic Target Recognition (ATR). As there are not many SAR ...