Posts Tagged ‘ optical character recognition ’

The essence of a handwritten digit

August 13, 2012
By
The essence of a handwritten digit

If you haven’t yet discovered the competitive machine learning site kaggle.com, please do so now. I’ll wait. Great – so, you checked it out, fell in love and have made it back. I recently downloaded the data for the getting started competition. It consists of 42000 labelled images (28×28) of hand written digits 0-9. The

Read more »