What do you mean by the 'number of units' in a RNN cell? • /r/MachineLearning

Imagine a feedforward network with X input units (i.e. an X-dimensional vector), a hidden layer of Y units, and an output of Z units. Each of the hidden units takes X inputs and produces a single output. Now, imagine that instead of taking just the X inputs from the input layer, each hidden unit also took Y inputs that it produced in the last time step. This is what an RNN layer with Y inputs would be.