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Digit Classifier

The desktop application (developed using WinUI3 and WindowsAppSDK) features a classifier of hand-drawn digits. Recognition is performed using neural networks trained with a backpropagation algorithm on the MNIST database.

The application consists of pages:

  • drawing,
  • networks,
  • images,
  • training,
  • settings.

The application stores error logs in a temporary location - by default AppData/Local/Temp.

Features

Previewing the MNIST database

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Creating neural networks

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Training of neural networks

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Testing them live with the drawing area

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About

The desktop application (developed using WinUI3 and WindowsAppSDK) features a classifier of hand-drawn digits.

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