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.

Discover the fundamentals of artificial intelligence (AI) and how it can revolutionize your business. Learn about the benefits, applications, and practical use cases to ignite your curiosity

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.

Effortlessly integrate and leverage OpenAI's text embeddings for enhanced text analysis in your .NET projects.

Explore the streamlined process of creating diverse image variations in .NET applications using OpenAI’s enhanced API functionality.

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

What are vector databases?

How to implement kd-trees in C# ?

Dive into the world of machine learning and explore how it empowers businesses to extract valuable insights from vast amounts of data. Discover practical techniques and tools for successful implementation.

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.