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.
Learn With Jay on MSN

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 ...
IEEE

A Stochastic Gradient Descent Approach for Hybrid mmWave Beamforming With Blockage and CSI-Error Robustness

Abstract: In this study, we consider the downlink beamforming problem in millimeter wave (mmWave) systems subjected to both path blockages and imperfect channel state information (CSI), and propose a ...
IEEE

A Native Stochastic Computing Architecture Enabled by Memristors

Abstract: A two-terminal memristor device is a promising digital memory for its high integration density, substantially lower energy consumption compared to CMOS, and scalability below 10 nm. However, ...
Microsoft

Katyusha: The First Direct Acceleration of Stochastic Gradient Methods

Nesterov’s momentum trick is famously known for accelerating gradient descent, and has been proven useful in building fast iterative algorithms. However, in the stochastic setting, counterexamples ...