Before revision:  Using the DMFT and RMT, we produce phase diagramsfor gated RNN . Finally, we address the gradients by leveraging the adjoint sensitivity framework to develop a DMFT for the gradients.
After revision:  Using the DMFT and RMT, we produce phase diagramsfor gated RNN . Finally, we develop a field-theory for gradients that arise in training, by incorporating the adjoint sensitivity framework to develop a DMFT for the gradients.