Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Hub
  • Nodes
  • TensorFlow 2 Network Writer
NodeNode / Sink

TensorFlow 2 Network Writer

KNIME Labs Deep Learning TensorFlow 2
Drag & drop
Like
Copy short link

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.

Node details

Input 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 Writer node is part of this extension:

  1. Go to item

Related workflows & nodes

  1. Go to item
    Train a simple Multilayer Perceptron using TensorFlow 2
    TensorFlow 2 Deep Learning Tf
    +3
    This workflow shows how to train a simple multilayer perceptron for classification. It is…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 04_TensorFlow2 > 04_Train_a_MLP
  2. Go to item
    03. Train Model - solution
    knime > Life Sciences > Events > 2021_09_08_GCB_CellSegmentation > Solutions > 03. Train Model - solution
  3. Go to item
    Cell Segmentation
    Unet Tensorflow2 TF2
    +4
    This workflow uses Tensorflow2 to create and train a Unet for segmenting cell images. The…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 04_TensorFlow2 > 03_Tensorflow2_CellSegmentation
  4. Go to item
    Train a simple Multilayer Perceptron using TensorFlow 2
    TensorFlow 2 Deep Learning Tf
    +3
    Train a simple Multilayer Perceptron using TensorFlow 2 for a binary classification This …
    mlauber71 > Public > kn_example_deeplearning_keras_tensorflow_classification > kn_deeplearn_050_tensorflow2_basic_mlp
  5. Go to item
    02. Define U-Net - solution
    knime > Life Sciences > Events > 2021_09_08_GCB_CellSegmentation > Solutions > 02. Define U-Net - solution
  6. Go to item
    Counterfactual Explanations for scikit-learn (Python)
    Interpretable ML Python and KNIME Counterfactual Instances
    +5
    This application is a simple example of using Conterfactual Explanations (Python) compone…
    mpattadkal > Counterfactual Explanation (Python) > 01_KNIME_Workflows > 03_Counterfactual_Explanations_for_scikit-learn_(Python)
  7. Go to item
    Counterfactual Explanations for Keras
    Counterfactual Instances Counterfactual Explainations Binary Classification
    +6
    This application is a simple example of using Conterfactual Explanations (Python) compone…
    mpattadkal > Counterfactual Explanation (Python) > 01_KNIME_Workflows > 02_Counterfactual_Explanations_for_Keras
  8. Go to item
    Train and Explain Keras Network with Counterfactuals
    Counterfactual Instances Counterfactual Explainations Binary Classification
    +5
    This application is a simple example of using Conterfactual Explanations (Python) Compone…
    mpattadkal > Counterfactual Explanation (Python) > 01_KNIME_Workflows > 01_Train_and_Explain_Keras_Network_with_Counterfactuals

No known nodes available

KNIME
Open for Innovation

KNIME AG
Hardturmstrasse 66
8005 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • E-Learning course
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • KNIME Open Source Story
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more on KNIME Server
© 2022 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits