Building Applications from Scratch with Azure and Cognitive Services | On .NET

Posted on Posted in .NET, aft-net, Artificial Intelligence, Azure Platform, Coding, Machine Learning

In this episode, Christos Matskas (@ChristosMatskas) joins us to share the story of an interesting application he built using the Azure SDKs for .NET and Cognitive Services. We not only get an overview of creating custom vision models, but also a demo of the docker containers for cognitive services. Christos also shares how he was […]

Learning Machine Learning with .NET, PyTorch and the ONNX Runtime | On .NET

Posted on Posted in aft-net, AI, Coding, Machine Learning, Python

ONNX is a open format to represent deep learning models that is supported by various frameworks and tools. This format makes it easier to interoperate between frameworks and to maximize the reach of your hardware optimization investments In this episode, Seth Juarez (@sethjuarez) sits with Rich to show us how we can use the ONNX runtime […]

Using Cognitive Services in Containers | AI Show

Posted on Posted in Artificial Intelligence, Machine Learning

In this video we will talk about our new capability that allows developers to deploy some of our cognitive services as containers! Get ready for the intelligent edge! Process data in the cloud or on device at the edge, the choice is yours! Announcement: Technical Blog post: NEW LUIS in Containers: Using […]

Running AI on IoT microcontroller devices with ELL | Internet of Things Show

Posted on Posted in AI, IoT, Machine Learning

How about designing and deploying intelligent machine-learned models onto resource constrained platforms and small single-board computers, like Raspberry Pi, Arduino, and micro:bit? How interesting would that be? This is exactly what the open source Embedded Learning Library (ELL) project is about. The deployed models run locally, without requiring a network connection and without relying on […]

Learn How to Deploy Machine Learning Models! | AI Show

Posted on Posted in aft-ai, Machine Learning, Visual Studio Code

In this episode, we will provide step by step guidance on how to deploy machine learning models using the Visual Studio Code Tools for AI extension and Azure Machine Learning service. To learn more see Learn How to Deploy Machine Learning Models! | AI Show Source: MSDN Channel 9

TWC9: GitHub Actions, Visual Studio 2019 Roadmaps, Remembering Paul Allen, and more | This Week On Channel 9

Posted on Posted in Azure, Azure Machine Learning, GitHub, Machine Learning, Paul Allen, Xamarin

This week on Channel 9, Christina is frustrated she can’t buy a Surface Laptop 2 in rose gold outside of China, but she’s still ready with the latest developer news, including: [00:18] Surface Laptop 2 in Blush Gold (China only) and details [01:04] GitHub Actions and check out Jessie Frazelle’s demo and Sarah Drasner’s getting started guide [02:22] Siri Shortcuts with Xamarin [02:58] Xamarin.Forms 3.30 […]

Custom Vision – Object Detection Made Easy | The Xamarin Show

Posted on Posted in Artificial Intelligence, Azure, Machine Learning, Xamarin, Xamarin.forms

Following on from the Custom Vision – Machine Learning Made Easy episode, in this show Jim looks at Custom Vision object detection. The custom vision service recently has been updated to include object detection, and this allows you to train the service to detect multiple objects inside an image with their locations, instead of just being […]