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Linear regression gradient descent explained simply

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...
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 ...
IEEE

A Filtered Gradient Descent Clustering Method to Recover Communities in Attributed Networks

Abstract: An attributed network is a network in which in addition to the network structure each node is associated with a set of attributes. Community detection in such networks involves recovering ...
marktechpost

This AI Paper Introduces Semantic Backpropagation and Gradient Descent: Advanced Methods for Optimizing Language-Based Agentic Systems

Language-based agentic systems represent a breakthrough in artificial intelligence, allowing for the automation of tasks such as question-answering, programming, and advanced problem-solving. These ...
marktechpost

ADOPT: A Universal Adaptive Gradient Method for Reliable Convergence without Hyperparameter Tuning

Adam is widely used in deep learning as an adaptive optimization algorithm, but it struggles with convergence unless the hyperparameter β2 is adjusted based on the specific problem. Attempts to fix ...
istockphoto

Gradient descent algorithm icon color illustration stock illustration...

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