This workflow shows how to edit a TensorFlow model using the TensorFlow Python API by adding an additional output to a model.
The loaded model does classification on MNIST but only outputs the probabilities for each class. We edit the model such that it outputs the class as well.
EXAMPLES Server: 04_Analytics/14_Deep_Learning/03_TensorFlow/04_Edit_MNIST_SavedModel04_Analytics/14_Deep_Learning/03_TensorFlow/04_Edit_MNIST_SavedModel*
Download a zip-archive
* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually