How to implement neural networks for regression in C# ?

Learn to create real-time computer vision applications with a couple of Python functions and a model URI.

This article discusses the application of Stable Diffusion models in generative AI, focusing on image generation from text prompts.

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

In this four-part series, you’ll learn how to create an Intelligent App with Azure Container Apps. In this fourth and final part, you’ll explore how to integrate a custom model into your Intelligent Apps, enhancing the application’s features with specialized AI.

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.

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.

An introduction to machine learning with working C++ code that trains a linear regression model.

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

Easily interact with OpenAI’s API in .NET applications using the ConnectingApps.Refit.OpenAI NuGet package for streamlined, resilient, and loggable calls.