Neel Somani on Optimization: The Language of Modern AI Systems

Neel Somani points out that while artificial intelligence may look like it runs on data and algorithms, its real engine is ...

WiMi Studies Hybrid Quantum-Classical Convolutional Neural Network Model

(NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that they are actively exploring a shallow hybrid quantum-classical ...
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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. Marine Colonel Who Resigned Because Of Trump Says Personnel Should Question 'Illegal ...
Visual Studio Magazine

Kernel Ridge Regression with Stochastic Gradient Descent Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...
IEEE

Localization Using Stochastic Gradient Descent Method in a 5G Network

Abstract: In this paper, we propose an iterative method for smartphone localization in a 5G network. The location estimation accuracy degrades for an inbuilt GPS smartphone in dense environments and ...
Frontiers

Expectation-maximization alternating least squares for tensor network logistic regression

1 Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan 2 RIKEN Center for Advanced Intelligence Project, Tokyo, Japan In recent years, a learning method for classifiers using ...