Read and Execute a SavedModel on MNIST

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.


This is a companion discussion topic for the original entry at https://kni.me/w/O-aXqiai3TZvFXUm