• Looking under the hood: visualizing what LSTMs learn 

        Author(s):Patil, Dhruva
        Date Issued:2019
        Format:born digital; masters theses
        Recurrent Neural Networks (RNNs) such as Long Short Term Memory (LSTM) and Gated Recurrent Units (GRUs) have been successful in many applications involving sequential data. The success of these models lies in the complex ...