Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
IEEE

A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks

Abstract: It has been widely recognized that the efficient training of neural networks (NNs) is crucial to classification performance. While a series of gradient-based approaches have been extensively ...
GitHub

Microsoft Authentication Library (MSAL) for Java

The Microsoft Authentication Library for Java (MSAL4J) enables applications to integrate with the Microsoft identity platform. It allows you to sign in users or apps with Microsoft identities (Azure ...
IEEE

Stochastic Gradient Descent for Nonconvex Learning Without Bounded Gradient Assumptions

Abstract: Stochastic gradient descent (SGD) is a popular and efficient method with wide applications in training deep neural nets and other nonconvex models. While the behavior of SGD is well ...
GitHub

AWS SDK for Java

The AWS SDK for Java enables Java developers to easily work with Amazon Web Services and build scalable solutions with Amazon S3, Amazon DynamoDB, Amazon Glacier, and more. See the AWS SDK for Java ...