The workflow generates 200 new, fictive mountain names. It reads the previously trained TensorFlow network and predicts 200 sequences of index-encoded characters within a loop. The last node, named Extract Mountain Names translates the sequence of indexes into characters and visualizes the new fictive mountain names. In order to run the example, please make sure you have the following KNIME extensions installed: * KNIME Deep Learning - Keras Integration (Labs) * KNIME Deep Learning - TensorFlow Integration * KNIME Python Integration You also need a local Python installation that includes Keras. Please refer to https://www.knime.com/deeplearning#keras for installation recommendations and further information.
This is a companion discussion topic for the original entry at https://kni.me/w/jvRDTTIgm83SXgBK