Previous Work 2: RNN Model

The model was rebuilt from the RNN seq2seq model, using the encoder-decoder architecture where cuDNN GRU was used to encode and TensorFlow GRUBlockCell as decoder with the output of the decoder passed on to the next step until the end of the sequence.

Reference: https://www.kaggle.com/arjunsurendran/using-lstm-on-training-data

Read more about RNN: https://machinelearningmastery.com/time-series-prediction-lstm-recurrent-neural-networks-python-keras/