Targeting K = 100, we set H = 244 for the r-GRU and compare with a GRU with H = 650 which has the same number of parameters.
increasing capacity (number of tunable parameters) by augmenting the size H of the hidden (or recurrent) layer -to model more complex distributions -results in a significant increase in computational cost, which is O(H 2 ).