Hello everyone.
I want to train an LSTM network to predict parameters for my 3d printing. Then I make a measure of quality, my loss function, by comparing a ground truth mask to a segmentation of what has been printed. My problem is that tensorflow can’t do the gradient backpropagation . How do I deal with this particular type of case?