AI - .NET Blog

Using ML.NET for deep learning on images in Azure

Luis Quintanilla May 6, 2020 May 6, 2020 05/6/20

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.

February ML.NET Model Builder Updates

Bri Achtman March 2, 2020 Mar 2, 2020 03/2/20

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!

Announcing ML.NET 1.0

Ankit Asthana May 6, 2019 May 6, 2019 05/6/19

We are excited to announce the release of ML.NET 1.0 today. 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. https://github.com/dotnet/machinelearning Star Get Started @ http://dot.net/ml ML.NET allows you to train, build ...

Introducing Tensor for multi-dimensional Machine Learning and AI data

.NET Team November 15, 2017 Nov 15, 2017 11/15/17

Overview Tensor is an exchange type for homogenous multi-dimensional data for 1 to N dimensions. The motivation behind introducing Tensor<T> is to make it easy for Machine Learning library vendors like CNTK, Tensorflow, Caffe, Scikit-Learn to port their libraries over to .NET with minimal dependencies in place. Tensor<T> is ...

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AI - .NET Blog

Using ML.NET for deep learning on images in Azure

February ML.NET Model Builder Updates

Announcing ML.NET 1.0

Introducing Tensor for multi-dimensional Machine Learning and AI data

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