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01_​Training

Generate Mountain Namesn (Training)
Generate Mountain Names (Training)The workflow builds, trains, and saves an RNN with an LSTM layer to generate new fictive mountain names. The brown nodes define the networkstructure. The "Pre-Processing" metdanoe reads original mountain names and index-encodes them. The Keras Network Learner node trains thenetwork using index-encoded original mountain names. Finally, the trained network is prepared for deployment, transformed into a TensorFlowmodel, and saved to a file.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 Define Network Read and Pre-ProcessInput Data Train Network Edit and Save Networks Add Temperatureand Remove DropoutInput Shape?, Dictionary SizeRegularizationOutput: Sequence of Hidden StatesActivation: LinearActivation:Softmax DL PythonNetwork Editor Keras NetworkLearner Keras Input Layer Keras Dropout Layer Pre-Processing Keras to TensorFlowNetwork Converter TensorFlowNetwork Writer Keras LSTM Layer Keras Dense Layer Keras Dense Layer Generate Mountain Names (Training)The workflow builds, trains, and saves an RNN with an LSTM layer to generate new fictive mountain names. The brown nodes define the networkstructure. The "Pre-Processing" metdanoe reads original mountain names and index-encodes them. The Keras Network Learner node trains thenetwork using index-encoded original mountain names. Finally, the trained network is prepared for deployment, transformed into a TensorFlowmodel, and saved to a file.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 Define Network Read and Pre-ProcessInput Data Train Network Edit and Save Networks Add Temperatureand Remove DropoutInput Shape?, Dictionary SizeRegularizationOutput: Sequence of Hidden StatesActivation: LinearActivation:Softmax DL PythonNetwork Editor Keras NetworkLearner Keras Input Layer Keras Dropout Layer Pre-Processing Keras to TensorFlowNetwork Converter TensorFlowNetwork Writer Keras LSTM Layer Keras Dense Layer Keras Dense Layer

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Created by: kathrinmelcher
Created at: 2018-10-25
On NodePit since: 2020-02-25
Last update: 2024-04-18
Created with KNIME version: v4.1.1
Tags: TAG:deep learning keras text generation RNN LSTM text analysis sequence analysis neural network text processing

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