Generate Mountain Names (Training)
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.
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.