Understanding Keras Recurrent Nets' structure and data flow (mainly LSTM) in a single diagram. Actually as I was working on understanding how Recurrent Neural Networks really work and what gives these ...

The recurrent weight matrices were scaled so that the eigenvalues were no greater than 1. For a linear recurrent circuit with eigenvalues greater than 1, the responses are unstable, growing without ...

A new approach for developing recurrent neural-network models of nonlinear circuits is presented, overcoming the conventional limitations where training information depends on the shapes of circuit ...

However, precisely how neural systems learn to modify these representations remains far from understood. Here, we demonstrate that a recurrent neural network (RNN) can learn to modify its ...