I have been studying LSTMs for a while. I understand at a high level how everything works. However, going to implement them using Tensorflow I've noticed that BasicLSTMCell requires a number of units (i.e.
From this very thorough explanation of LSTMs, I've gathered that a single LSTM unit is one of the following
which is actually a GRU unit.
I assume that parameter
num_units of the
BasicLSTMCell is referring to how
many of these we want to hook up to each other in a layer.
That leaves the question - what is a "cell" in this context? Is a "cell" equivalent to a layer in a normal feed-forward neural network?