To use the power of Machine Learning in C# Microsoft created a package called ML.NET which provides all the basic Machine Learning functionality. In this article, I will show you how to use ML.NET to create a binary classification model, discuss its AutoML capabilities and show you how to use a Tensorflow model with ML.NET.Why should I use scisharp for machine learning?
SciSharp's philosophy allows a large number of machine learning code written in Python to be quickly migrated to .NET, enabling .NET developers to use cutting edge machine learning models and access a vast number of TensorFlow resources which would not be possible without this project.What is mlnet (machine learning)?
ML.NET is a machine learning framework which was mainly developed for .NET developers. In Build 2018, Microsoft introduced the preview of ML.NET (Machine Learning .NET) which is a cross-platform, open-source Machine Learning Framework.What is machine learning (ML) framework?
In Build 2018, Microsoft introduced the preview of ML.NET (Machine Learning .NET) which is a cross-platform, open-source Machine Learning Framework. Yes, now it is easy to develop our own Machine Learning application or develop custom modules using Machine Learning Framework.