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Deep Learning is a powerful and mysterious sounding Machine Learning technique. It is based on neural networks, and has shown impressive results in areas as different as computer vision, speech recognition, or automated language translation. And, with the recent release of the Microsoft Cognitive Toolkit (CNTK) .NET API, it is now possible to train and use deep learning models in .NET.
In this talk, Mathias will share with you some of the ideas behind the approach, explain how it works behind the scenes, and demonstrate how F# makes it easy to learn models from data, and use them from within your .NET code.
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Keynote: Deep Learning with CNTK and F#
Mathias Brandewinder has been writing software in C# for about 10 years, and loving every minute of it, except maybe for a few release days. He is an F# MVP, the author of "Machine Learning Projects for .NET Developers" (Apress), enjoys arguing about code and how to make it better, and gets very excited when discussing TDD or F#.