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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 updating the weight parameters after assessing the entire dataset, Mini Batch ...
IEEE

Evolution and Analysis of Leakage Flux Path for Memory Machine With Variable Leakage Flux Capability

Abstract: To further expand the flux regulation (FR) range, variable leakage flux (LF) technology is introduced into the hybrid magnetic circuit memory machine (HMC-MM). This technology is realized by ...
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 ...