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Recognize your own handwritten digits with Tensorflow, embedded in a PyQT5 GUI.

License: MIT License

Python 100.00%

hand-digits-recognition's Introduction

Deep Learning application with TensorFlow 2.0

With this Software, you can classify your own hand-written digits with a neural network that was trained on the MNIST data set.

Requirements:

  • Anaconda with Python 3.5+ Download
  • Tensorflow 2.0+ for Python Installation
  • pyqt5, opencv-python, numpy, scipy and matplotlib for Python

Usage:

  • Train the neural network and save the weights.
  • Run python drawingGui.py in the GUI folder.

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