Deep Learning with ML.NET and Model Builder in Visual Studio

Hi guys,Today I am writing about ML.NET and Model Builder in Visual Studio. I think every developer at least should be familiar with this tool. In 4 simple steps you can build up and train a model. Microsoft did a fantastic job in simplifying Deep Learning.AutoML automatically explores different machine learning algorithms and settings. This allows us to find the best possible model for our scenario. This way we don’t have to worry about NN Layers, architecture and hyper parameters.TF.NET is a C# wrapper class for Tensor Flow. Now we can import Tensor Flow models into our .NET environment with just couple of lines of code.I am very happy about this, and so I am writing this new blog post explaining all there is to build up a simple image classification model. The focus being on how to work with the Model Builder and explaining the things it does for us.How to use ML.NET Model Builder for Image Classification – CODE-AI (code-ai.mk)I did my best to explain all there is to know on the subject without going into too much detail. I will post more tutorials and more examples soon. I am working on a complete series on how to use ML.NET in different project scenarios and how to import Tensor Flow models in .NETThank You, via /r/csharp https://ift.tt/2ZU3KbA