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A convolutional neural network for the grading of simple, handwritten arithmetic problems.

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pricebenjamin/uidaho-dscomp-2018

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UI Data Science Competition

For the machine learning track of the University of Idaho's inaugural Data Science competition, students were tasked with constructing a neural network that could grade handwritten arithmetic problems. These handwritten problems took one of four possible forms:

  • a + b = c,
  • a - b = c,
  • a = b + c, or
  • a = b - c.

This repository contains the scripts which trained the first place network.

Work in progress

This README will eventually contain a summary of my experiences as a participant in this competition, as well as a thorough description of the network design.

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A convolutional neural network for the grading of simple, handwritten arithmetic problems.

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