Azure Developers .NET Day is back on April 30th! Join the .NET community to learn cutting-edge cloud development techniques from experts on cloud services for AI, data, cloud-native, and developer productivity. Elevate your cloud development skills today!
This post will show you how to train a custom image classification model in Azure to categorize flowers using ML.NET Model Builder. Then, you can leverage your existing .NET skills to consume the trained model inside a C# .NET Core console application. Best of all, little to no prior machine learning knowledge is required.
With the ML.NET Model Builder, create custom machine learning models for scenarios like sentiment analysis, price prediction, and more without any machine learning experience and without leaving the .NET ecosystem!
This is a guest post from the Pulumi team. Pulumi is an open source infrastructure as code tool that helps developers and infrastructure teams work better together to create, deploy, and manage cloud applications using their favorite languages. For more information, see https://pulumi.com/dotnet.
We are excited to announce .NET Core support ...
Overview
Since its inception, the .NET Core configuration provider for Azure App Configuration has provided the capability to monitor changes and sync them to the configuration within a running application. We recently redesigned this functionality to allow for on-demand refresh of the configuration. The new design paves the way for smarter ...
We just released a new feature which enables Azure SignalR Service to publish connection events to Azure Event Grid. Check out this blog post to learn how it works and how to use it.