Assertion: neural network's layer | /r/CapableOf | train on unlabeled data
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text: When training on unlabeled data, each node layer in a deep network learns features automatically by repeatedly trying to reconstruct the input from which it draws its samples, attempting to minimize the difference between the network’s guesses and the probability distribution of the input data itself.