Drawing - Damage and Distortion

[makeyourownneuralnetwork]

One of the key nice things about neural networks is that they are resilient to some damage.

That means either damage to the network itself (e.g. broken links), or .. more interestingly .. damage to the input image.

It might be interesting for users to draw a digit, then click "damage" and "distort" buttons which would blow holes in the image, or stretch/wobble/twist the image a bit.

This would allow users to see for themselves that you can damage an input image quite a bit before overall performance degrades. I did some experiments myself at http://makeyourownneuralnetwork.blogspot.co.uk/2016/03/your-own-handwriting-real-test.html

[shiffman]

This is a great suggestion, thank you!