This workflow builds, trains, and saves an (many to many) RNN with an LSTM layer to generate new fictive mountain names. The brown nodes define the network structure. The "Pre-Processing" metdanoe reads original mountain names, index-encodes them, and creates input and output sequences, which are shifted by one character. The Keras Network Learner node trains the network using index-encoded original mountain names. Finally, the trained network is prepared for deployment, transformed into a TensorFlow model, and saved to a file.