A long short term memory layer is used for keeping previous time-steps for current training decisions.Using no activation function for this output layer, since a regression is performed.Using no activation function for this output layer, since a regression is performed.Double click the operator for its inner layer structureThis operator adds the prediction to the input tensor and provides it as a Collection of ExampleSets.Looping over all patients (ExampleSets) from the Apply Model (Generic)'s Collection output to extract one measurement each (since all contain the same prediction).Loop over all patients (ExampleSets) from the Apply Model (Generic)'s Collection output.Note: This tutorial process is intended to showcase the functional usage. The examples size and chosen parameters are not optimal.Using a prepared subsample of the ICU medical data set. It contains anonymised patient data. Some attributes are time-series like (temperature) some aren't (age). Each ExampleSet represents one patient.Convert the number of samples (a Collection of ExampleSets) to a tensor.Notice that the Deep Learning (Tensor) and Apply Model (Generic) operators are used. For data with more than rows and columns we need to use these. The Deep Learning (Tensor) operator can be configured exactly the same as the non tensor one.Extracting the classificaton performance from the prediction on tensor data.