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[D] Multilayer hidden to hidden transformation in RNN (GRU/LSTM)

Hello guys!
I’m training GRU neural network with single GRU layer (among other layers), and I tend to think that hidden to hidden transformation requires severe non-linearity to correctly “merge” memory with current timestep (and thus update hidden).
How do I approach this, what is the best practice?
Should I add more GRU layers or should I, for instance, add extra layers to hidden to hidden transformation with nonlinearity like relu?
If I take second approach I guess I should use tanh instead of relu to avoid exploding gradients, am I correct?

Thanks in advance.

submitted by /u/Pryanik88
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.