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I am working on a time series forecasting problem and I am in the process of choosing the optimum network structure. Currently I have a 200 cell LSTM layer fully connected to 100 neurons in an adjacent layer, which in turn to a 24 neuron output layer.

My prediction problem is time series forecast of GHI values in a 24 hour window using previous 24 hours as input.

I would like to know whether making the second layer as LSTM cells will make any difference?

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