This node allows custom training and fine-tuning/transfer learning of a (Python compatible) deep learning network in a local Python installation via a user-defined script. The path to the Python executable has to be configured in Preferences → KNIME → Python. It also allows to import Jupyter notebooks as Python modules via the knime_jupyter module that is part of the Python workspace.
Options
Script
Input Ports
- The deep learning network. Referred to as input_network in the Python script. Can be any deep learning network which can be used in Python.
- The input table. Referred to as input_table in the Python script, where it is a pandas.DataFrame.
Output Ports
- The trained output deep learning network. This is the content of the variable output_network which has to be defined in the script and has to be a deep learning network known to KNIME. The network can then be used in common "DL Python" nodes or in nodes which are specific to the network type.
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Views
- Standard output
- The text sent by Python to the standard output during the execution of this node.
- Error output
- The text sent by Python to the error output during the execution of this node.
Workflows
00_Keras_Transfer_LearningKNIME Hub- 00_Keras_Transfer_LearningKNIME Hub
- 01_BERT_Sentiment_AnalysisKNIME Hub
- 01_Train GAN for Image GenerationKNIME Hub
- 02_Read_Images_and_Train_VGGKNIME Hub
- Show all 39 workflows
Links
- No links available
Developers
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