Understanding Basic architecture of LSTM, GRU diagrammatically

There are different modules to realize different functions in deep learning. Expertise in deep learning involves designing architectures to complete particular tasks. It reduces a complex function into a graph of functional modules (possibly dynamic), the functions of which are finalized by learning. Recurrent Neural Network (RNN)is one type of architecture that we can use to deal with sequences of data. We learned that a signal can be either 1D, 2D or 3D depending on the domain. The domain is defined by what you are mapping from and what you are mapping to.