A few months back, I wrote a post for Progress/Telerik devblogs on building offline machine learning models for ML.NET's quickly and easily using the Model Builder GUI. The piece briefly introduces ML.NET and then follows with a walkthrough of training an interaction prediction engine for New York taxi fares. That post was finally published this month, so you can read all about it over at Telerik blogs:
Although I mostly work on Xamarin things, ML is an area of interest and I'm glad to have a good .NET-friendly framework to work with in ML.NET. Lately I have been playing with Tensorflow and ML.NET and realtime processing of video game feeds, to do things like scene detection and digit classification (score, health) etc.
My (ridiculous) @linqpad-based Smash Brothers Classic Mode tracker is coming along, now with damage recognition thanks to a custom digit classifier + @migueldeicaza's TensorFlowSharp binding.. very easy to consume a Tensorflow model from the .NET world 🤓🎮 pic.twitter.com/grDnFnqemA— Ryan Davis (@rdavis_au) March 23, 2019