Deep Learning with Yacine on MSN

How to Implement Stochastic Gradient Descent with Momentum in Python

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.
Deep Learning with Yacine on MSN

Nesterov Accelerated Gradient (NAG) From Scratch in Python – Step-by-Step Tutorial

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for improving optimization techniques in machine learning! 💡🔧 #NesterovGradient #Mach ...
IEEE

Unveiling the Correlation Between Lyapunov Coefficients and Deep Learning Performance Using Ceilometer Data

Abstract: The planetary boundary layer (PBL) is a crucial parameter to investigate for characterizing the atmosphere, particularly concerning aerosol concentrations. Understanding the PBL allows us to ...
C&EN

Ultrafast Correlation Energy Estimator

Institute of Physics, Faculty of Physics, Astronomy, and Informatics, Nicolaus Copernicus University in Toruń, ul. Grudzia̧dzka 5, 87-100 Toruń, Poland Institute of Physics, Faculty of Physics, ...
IEEE

Adaptive Correntropy based Correlation for DOA Estimation by using Co-prime Array in the Presence of Impulsive Noise

Abstract: Finding directions-of-arrival (DOAs) of targets by using co-prime array, extensively investigated in the scenario of Gaussian disturbances, faces issues with impulsive background noise.
InfoWorld

How to use editable installs for Python packages

When you install Python packages into a given instance of Python, the default behavior is for the package’s files to be copied into the target installation. But sometimes you don’t want to copy the ...