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Using ML.NET for deep learning on images in Azure

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

Announcing ML.NET 1.0

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

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