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02_​Deployment

Workflow

Generate Mountain Namesn (Deployment)
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.
TAG:deep learning keras text generation RNN LSTM text analysis sequence analysis neural network text processing
Generate Mountain Namesn (Deployment)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 lastnode, 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 IntegrationYou also need a local Python installation that includes Keras. Please refer to https://www.knime.com/deeplearning#keras for installation recommendations and further information. Deplyment Workflow New InputPlus HiddenStatesRead ModelTo Output SequenceAnd Inital HiddenStates with Zeros DL Network Executor(deprecated) Recursive Loop End RecursiveLoop Start Create CollectionColumn Joiner Next Char TensorFlowNetwork Reader First Char Add Char ExtractMointain Names Create Start Token DL Network Executor(deprecated) Generate Mountain Namesn (Deployment)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 lastnode, 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 IntegrationYou also need a local Python installation that includes Keras. Please refer to https://www.knime.com/deeplearning#keras for installation recommendations and further information. Deplyment Workflow New InputPlus HiddenStatesRead ModelTo Output SequenceAnd Inital HiddenStates with Zeros DL Network Executor(deprecated) Recursive Loop End RecursiveLoop Start Create CollectionColumn Joiner Next Char TensorFlowNetwork Reader First Char Add Char ExtractMointain Names Create Start Token DL Network Executor(deprecated)

Download

Get this workflow from the following link: Download

Nodes

02_​Deployment consists of the following 62 nodes(s):

Plugins

02_​Deployment contains nodes provided by the following 8 plugin(s):