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TensorFlow 2 Network Reader

KNIME LabsDeep LearningTensorFlow 2
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Reads a TensorFlow 2 model from a file or folder. The file/folder must be:

  • A HDF5 (.h5) file containing a (TensorFlow) Keras Model.
  • A SavedModel file containing a TensorFlow Keras Model.
  • A ZIP file of the directory of a SavedModel containing a TensorFlow Keras Model.

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.

Node details

Output ports
  1. Type: TensorFlow 2 Model
    TensorFlow 2 network
    The TensorFlow 2 network.
File System Connection (Dynamic Inport)
The file system connection.
  1. Type: File System

Extension

The TensorFlow 2 Network Reader node is part of this extension:

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Related workflows & nodes

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