Machine Learning Interpretability Toolkit | AI Show

Posted on Posted in AI, Artificial Intelligence, Machine Learning

Understanding what your AI models are doing is super important both from a functional as well as ethical aspects. In this episode we will discuss what it means to develop AI in a transparent way. Mehrnoosh introduces an awesome interpretability toolkit which enables you to use different state-of-the-art interpretability methods to explain your models decisions. By using […]

ONNX Runtime speeds up Image Embedding model in Bing Semantic Precise Image Search | AI Show

Posted on Posted in Artificial Intelligence, Bing

Accelerate and optimize machine learning models regardless of training framework using ONNX and ONNX Runtime. This episode introduces both ONNX and ONNX Runtime and provides an example of ONNX Runtime accelerating Bing Semantic Precise Image Search. Show Summary: [00:00] – Introduction to ONNX [03:40] – Getting Started with ONNX [04:15] – Demo: Convert a CoreML […]

Training Machine Learning models with ML.NET | On .NET

Posted on Posted in .NET, aft-net, Artificial Intelligence, Coding, Data, Developer Tools, devtools, Machine Learning

ML.NET allows .NET developers to easily build and also consume machine learning models in their NET applications. In this episode, Bri Achtman joins Rich to show off some really interesting scenarios that ML.NET and its family of tools enables. They talk about training models, AutoML, the ML.NET CLI, and even a Visual Studio Extension for training models! […]

Machine Learning with ML.NET 1.0 from Build 2019 | On .NET

Posted on Posted in .NET, aft-net, Artificial Intelligence, Build, Coding, Data, Machine Learning

ML.NET is a free, cross-platform and open source machine learning framework designed to bring the power of machine learning (ML) into .NET applications. Live from Build 2019, we are joined by Cesar De La Torre Llorente who gives us a great overview of what the goals of ML.NET are, and shares with us some of the highlights […]

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 […]

Learn by Doing: A Look at Samples | AI Show

Posted on Posted in aft-ai, Artificial Intelligence

Understanding the landscape of sample projects available in Cognitive Services GitHub Samples here Studybot (development credit to Winona Azure): https://github.com/Azure-Samples/cognitive-services-studybot-csharp AI School at Microsoft: aischool.microsoft.com AI Gallery at Microsoft: https://gallery.azure.ai AI Lab: aIlab.microsoft.com Learn by Doing: A Look at Samples | AI Show Source: MSDN Channel 9