Writes a TensorFlow 2 Model to a file or directory. The file extension determines the format of the written file. If no file extension is given the model is saved in the SavedModel format. If the file extension .h5 is given the model is saved in the HDF5 format. If the file extension .zip is given the model is in the SavedModel format and compressed as a ZIP file .
The KNIME Deep Learning - TensorFlow 2 Integration is developed by KNIME and uses the TensorFlow 2 library. The KNIME Deep Learning - TensorFlow 2 Integration is not endorsed by or otherwise affiliated with Google. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.
This node can access a variety of different file systems. More information about file handling in KNIME can be found in the official File Handling Guide.
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.
To use this node in KNIME, install the extension KNIME Deep Learning - TensorFlow 2 Integration from the below update site following our NodePit Product and Node Installation Guide:
A zipped version of the software site can be downloaded here.
Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.
Try NodePit Runner!Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.