Testing and Applying the Network

Now that the neural network has been trained, the last step is to apply the network to the test set and evaluate its performance.

Executing the Network

To execute a trained network, you can use the Keras Network Executor node, as in Figure 4.22. The node has two input ports: a Keras network port for the trained network and a data input port for the test set or new data.

In the first tab of the configuration window, named Options, you can select, in the upper part, the backend engine, the batch size for the input data, and whether to also keep the original input columns in the output data table.

Under that, you can specify the input columns and the required conversion. Like in the Keras Network Learner node, the input specifications from the neural network are printed at the top. Remember that, since you are using the same network and the same format for the data, the settings for the input features must be the same as the ones in the Keras...