Abstract: The Friedkin-Johnsen (FJ) model describes how agents adjust their opinions through repeated interactions while accounting for the influence of agents who are partially stubborn. In this ...
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) ...
Deep Learning with Yacine on MSN
Gradient Descent from Scratch in Python – Step by Step Tutorial
Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...
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