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PythonNN-MNIST

Web app that accepts image uploading. The uploaded images should be a number. The number will be preprocessed (shrinked to 20x20, then bounded by a 28x28 image to comply with MNIST and then normalized) and then read by a neural network that makes use of the MNIST dataset. The preprocessing is currently inaccurate and the data is misinterpreted a third of the time.

Features

  • Allows for images to be uploaded
  • Preprocesses the uploaded image to fit in MNIST standards
  • Neural net of 728 inputs (1 per pixel) reads the image
  • Handwriting score (based upon number of evolutions) stored into a sql database