Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
GitHub

Video Diffusion Alignment via Reward Gradient

We have made significant progress towards building foundational video diffusion models. As these models are trained using large-scale unsupervised data, it has become crucial to adapt these models to ...
IEEE

A Fast ADMM Framework for Training Deep Neural Networks Without Gradients

Abstract: Stochastic gradient descent (SGD) and its many variants are widely used algorithms for training deep neural networks (DNN). However, SGD has some unavoidable drawbacks, including vanishing ...
IEEE

Geodesic-Aligned Gradient Projection for Continual Task Learning

Abstract: Deep networks notoriously suffer from performance deterioration on previous tasks when learning from sequential tasks, i.e., catastrophic forgetting. Recent methods of gradient projection ...
Frontiers

Soil properties under different land uses and slope gradients: Implications for sustainable land management in the Tach Karnuary watershed, Northwestern Ethiopia

Introduction:: Soil degradation resulting from land use changes and topographic variations poses a significant threat to agricultural productivity and environmental sustainability in the Northwestern ...