DL Python Network Learner

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.

Input ports

1. Type: DLPythonNetworkPortObject
   Deep Learning Network
   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.
2. Type: Table
   Data Table
   The input table. Referred to as input_table in the Python script, where it is a pandas.DataFrame.

Output ports

1. Type: DLPythonNetworkPortObject
   Deep Learning Network
   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.