I’m working together with Mona_Jalal and we’ve tried two different methods for now. The first is to concatenate the two features together and then adding fully connected layers to make the prediction. The second is to first use fully connected layers to make the two features of the same length, and then concatenate the vectors and make the prediction.
I’ve included the code and ideas below and found that they have similar accuracy. Does anyone know the difference between the two? And if there are any other methods for feature combination? Thanks!

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