ML.NET Archives | Cesar de la Torre [Microsoft]

Run with ML.NET C# code a TensorFlow model exported from Azure Cognitive Services Custom Vision

Cesar De la TorreJune 5, 2019Jun 5, 201906/5/19

With ML.NET and related NuGet packages for TensorFlow you can currently do the following:

Run/score a pre-trained TensorFlow model: In ML.NET you can load a frozen TensorFlow model .pb file (also called “frozen graph def” which is essentially a serialized graph_def protocol buffer written to disk) and make predictions with it from C# for scenarios like image classification,

What is ML.NET 1.0 – Machine Learning for .NET

Cesar De la TorreMay 6, 2019May 6, 201905/6/19

Today, coinciding with //BUILD 2019/ conference, we’re thrilled by launching ML.NET 1.0 release!
You can read the official ML.NET 1.0 release announcement Blog Post here and get started at the ML.NET site here.
In this blog post I’m providing quite a few additional technical details along with my personal vision that you might find interesting,

How to optimize and run ML.NET models on scalable ASP.NET Core WebAPIs or web apps

Cesar De la TorreMarch 24, 2019Mar 24, 201903/24/19

Context
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UPDATE on May 13th 2019: The recommended way to deploy/run an ML.NET model into ASP.NET Core web apps or WebAPI services is by using the ‘Microsoft.Extensions.ML’ Integration package. Read about it in this tutorial:
– Deploy an ML.NET model in an ASP.NET Core Web API
The tutorial above uses optimized code based on an .NET Core Integration Package comparable to integration packages targeting Entity Framework,

Cesar de la Torre [Microsoft] - BLOG

ML.NET Archives | Cesar de la Torre [Microsoft] - BLOG

Run with ML.NET C# code a TensorFlow model exported from Azure Cognitive Services Custom Vision

What is ML.NET 1.0 – Machine Learning for .NET

How to optimize and run ML.NET models on scalable ASP.NET Core WebAPIs or web apps

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