In the last two articles, every step gave one output. In this article, we change what comes out. What if each step gave several outputs, or the whole sequence gave just one? Most examples start from the h=2 network of the last article. They change only what comes after the hidden state.
d=1, h=2, y=2, seq=5
We ask each step for two outputs. The hidden states do not change. Each output reads the same hₜ, with its own row of weights. Compare the first output with the h=2 example, and you will see they match.
