01_​Read_​And_​Execute_​a_​SavedModel_​on_​MNIST

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This workflow reads a trained SavedModel for the MNIST dataset and executes it on test data.

In order to run the example, please make sure you have the following KNIME extensions installed:

* KNIME Deep Learning - TensorFlow Integration (Labs)
* KNIME Image Processing (Community Contributions Trusted)
* KNIME Image Processing - Deep Learning Extension (Community Contributions Trusted)

Acknowledgements:

The architecture of the used network was taken but slightly changed from https://www.tensorflow.org/tutorials/layers.

The enclosed pictures are from the MNIST dataset (http://yann.lecun.com/exdb/mnist/) [1].

[1] Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. "Gradient-based learning applied to document recognition." Proceedings of the IEEE, 86(11):2278-2324, November 1998.

Nodes

• Column Appender2 ×
• Column Filter2 ×
• CSV Reader1 ×
• Chunk Loop Start1 ×
• Column Auto Type Cast1 ×
• Show all 24 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Deep Learning - Keras Integration
• FeatureKNIME Deep Learning - TensorFlow Integration
• FeatureKNIME Image Processing
• FeatureKNIME Javasnippet

Links

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