Deep Learning with Yacine on MSN

Muon Optimizer for Dense Linear Layers – Newton-Schulz Method with Momentum Explained

Dive deep into the Muon Optimizer and learn how it enhances dense linear layers using the Newton-Schulz method combined with ...
IEEE

Multi-Step Span Loss Prediction in Optical Networks Using Multi-Head Attention Transformers

Abstract: Span Loss is a pivotal characteristic of optical networks, and its accurate prediction enables adjustment for optimal performance and proactive monitoring. Deep learning models such as ...
eLife

Asymmetric neural entrainment at resonance frequencies underlies unilateral spatial neglect

This valuable study uses EEG and computational modeling to investigate hemispheric oscillatory asymmetries in unilateral spatial neglect. The work benefits from rare patient data and a careful ...
IEEE

A Study on Robust Control Scheme Using Prescribed Performance-Based Time Delay Control and RBF Neural Network

Abstract: This paper proposes a robust control scheme combining prescribed performance-based time-delay estimation (TDE) with a radial basis function neural network (RBF-NN). The proposed prescribed ...