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DL architectures used in BA estimation (A) dense (or deep) neural network (DNN), (B) long short-term memory (LSTM) cells (LSTM updates for timestep 
given the input 
and the previous state 
and previous cell output 
), (C) convolutional neural network (CNN) and (D) convoutional LSTM cell. Here (A) and (C) show the network while (B) and (D) show the basic structure; to use the models for age estimation, we add dense layers and a single unit output.
