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The idea is simple, but it requires some time to develop. Assumption: I am assuming in your problem the final model will have seen all possible shapes. What your algorithm needs is a convolutional NN to understand each shape by extracting features, but you just need to be very careful with pooling. Then what you need is a recurrent NN. In the example you ...

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