问题
I am trying to implement a small recognition program, which should take an image with hand-written shapes as an input (shape objects can be nested), and tell me which shapes it consists of, their type, size and at least coordinates of one point in a shape. Where should I start? Maybe, some machine learning technics could be used for such a task?
I've tried to look for some examples or tutorials dealing with handwriting recognition of custom shapes, but haven't found something worth looking at.
回答1:
I think you should take a look at Coursera Machine Learning course taught by Andrew Ng from Stanford.
It will guide you through techniques of ML resulting in writing your own digit recogniting neural network.
It's really deep field and I believe that simply using some tutorial will be not enough - understanding of subject and techniques that you will use is really important.
来源：https://stackoverflow.com/questions/26784752/hand-written-custom-shapes-recognition