Deep Self-Taught Learning for Handwritten Character Recognition

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This demo allows you to compare two neural network detectors of handwritten characters:

Both classifiers are trained on P07, a distribution that combines multiple datasets and stochastic transformations.

The demo provides real-time detection of characters as you draw (left panel) and apply transforms (middle panel) similar to the ones in P07. The three best results are shown (right panel) along with the confidence of the detector.