Generalised Estimating Equation (GEE) vs. Recurrent Neural Network (RNN)

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Has anyone looked into or know what is the difference between a GEE model and an RNN model in terms of what these two models are doing? Apart from the differences in structure of these two models where GEE is an extension of Generalised Linear Model (GLM) and RNN is of a neural network structure, it seems to me that these 2 models are doing the same thing?