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SkillsCast

Keynote: Deep Learning with CNTK and F#

5th April 2018 in London at CodeNode

There are 24 other SkillsCasts available from F# eXchange 2018

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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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Thanks to our sponsors

Keynote: Deep Learning with CNTK and F#

Mathias Brandewinder

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#.

SkillsCast

Please log in to watch this conference skillscast.

693061298 640

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.

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

Keynote: Deep Learning with CNTK and F#

Mathias Brandewinder

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#.

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