An overview on how to interrogate Dall-E in VB.NET

This article provides a comprehensive guide to TensorFlow 2.x, covering its execution modes, model building APIs, and insights for choosing the right approach for machine learning projects.

This article explores the concept of intelligent applications for readers, providing a clear understanding of the role of AI capabilities in modern applications.

This article will show you how to create a module for CodeProject.AI Server that wraps some code that takes a long time to complete

Discussion of linear regression

In the last article, we created an Intelligent App that leverages Azure AI Vision to analyze images and extract data. We developed an API to perform optical character recognition (OCR) on uploaded images and tested this API locally.

A layman's description of how Kalman Filters work, and sample code that shows how to use it to forecast stock market volatilities

This article explores the various self-hosted AI frameworks available and understand their strengths, weaknesses, and compatibility with your project requirements. Make an informed decision that aligns with your organization's goals

The article discusses the challenges in training accurate object detection models for industrial visual inspection and proposes the use of synthetic data to address dataset limitations.

In this four-part series, you’ll learn how to create an Intelligent App with Azure. This second tutorial demonstrates how to add intelligent features to this user feedback analysis application. Then, it explores how to use your new Intelligent App to analyze user feedback.