LSTM metalearner: How?
On the frozen net runs a sequential learning algorithm which computes something like error signals from inputs recognized as data and targets.
Parameters of f, errors, temporary variables, counters, computations of f and of parameter updates are all somehow represented in form of circulating activations.
Back to J. Schmidhuber's Recurrent neural network page