KNIME Deep Learning - Train MNIST classifier

This workflow trains a simple convolutional neural network (CNN) on the MNIST dataset via Keras. In order to run the example, please make sure you have the following KNIME extensions installed: * KNIME Deep Learning - Keras Integration (Labs) * KNIME Image Processing (Community Contributions Trusted) * KNIME Image Processing - Deep Learning Extension (Community Contributions Trusted) You also need a local Python installation that includes Keras. Please refer to for installation recommendations and further information. Acknowledgements: The architecture of the created network was taken from [1]. The enclosed pictures are from the MNIST dataset ( [2]. [1] Chollet, Francois and others. Keras. 2015. [2] 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.

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