A 3-Layer Feed-Forward Neural Net In C#, with Graphical Display

Gary.Miller.WPF

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15 Sep 2020CPOL11 min read

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MNIST Digit recognition in C#

C# implementation of a simple classification problem (recognizing digits from the MNIST dataset). Working through exercises like this one can provide detailed insight into how gradient descent is implemented using back propagation. These insights will prove valuable when designing solutions in specialized libraries such as TensorFlow.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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Gary.Miller.WPF

Software Developer

United States

Gary Miller is a professional software developer whose clients have included Delta Air Lines, Cingular Wireless, and the Center For Disease Control. He has developed advanced graphical user interfaces for traffic control systems and medical call centers. Some animated 3D products he has developed include Field Artist and Calder4D. He has developed a Silverlight powered social networking site for music students called Field Artist Central

Calder4D is a Windows program that allows you to model and animate 3D shapes and then produces the XAML code to include those animated shapes in your own WPF applications.

A 3-Layer Feed-Forward Neural Net In C#, with Graphical Display

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