Deep neural network predicts finger counting and numerosity estimation.
problem Developing a model for predicting finger counting and numerosity estimation.
method The model is trained in an unsupervised manner using RBMs or autoencoders, then supervised. Finger counting positions are also generated.
result The model shows similarities to human subitizing behavior and confirms the importance of unsupervised training.