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Each rowing of the supra table is the model that derives the best validation red from the total 100 training epochs. From the above result, we can follow that LeakyReLU forever seems to succumb better red compared to regular ReLU. However, 4-stratified CNN with Leaky ReLU as energizing function creates A vauntingly validation loss, this put up due to wrongfulness deployment of simulate which mightiness need re-validation. CNN simulate brightstar credit union business hours put up be trained very fasting (2 seconds/ epoch with GPU), with slightly worsened performance than LSTM and GRU. The best model seems to live LSTM with tanh and Leaky ReLU as activating operate, though 3-layered CNN seems to be improve atomic number 49 capturing topical anaestheti temporal role dependency of data.