Using DeepLearning4J to classify MNIST Digits

The workflow downloads, uncompresses and preprocesses the orignal MNIST dataset from: The two "Normalize Images" wrapped metanodes use the KNIME Streaming functionality to convert the input files into KNIME image cells that can be used by the DL4J Learner and Predictor. The "LeNet" metanode (taken from the Node Repository) is a variant of the originally described LeNet convolutional neural network.

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