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 ...
This article presents a deep-learning-based approach for designing Class F power amplifiers (PAs). We use convolutional neural networks (CNNs) to predict the scattering parameters of pixelated ...
Abstract: Deep learning (DL) networks have recently achieved excellent performance on image compressed sensing. However, most existing methods rely on burdened and complex network structures, ...
Cybersecurity professionals recognize that enterprise networks are prime targets for dark web risks such as ransomware, unauthorized insider activity, and data exfiltration. What’s less obvious is ...
College of Polymer Science and Engineering, Sichuan University, State Key Laboratory of Advanced Polymer Materials, Chengdu 610065, Sichuan, China ...
TL;DR: Skala is a deep-learning exchange–correlation functional for Kohn–Sham Density Functional Theory (DFT) that targets hybrid-level accuracy at semi-local cost, reporting MAE ≈ 1.06 kcal/mol on W4 ...
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