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02_​Example_​for_​Learning_​a_​Neural_​Network

Multi Layer Perceptron

After the data is normalized and partitioned, Multi-Layer-Perzeptron (MLP) is trained and applied.

Multi Layer Perceptron A simple example using a multi layerperceptron(MLP) learner and predictor toclassify some image data. For moreinformation on the data set see https://archive.ics.uci.edu/ml/datasets/Statlog+(Landsat+Satellite) normalize datascore resultssplit training setfrom test setuse neural networkto predict classesbuildneural networkread data Normalizer(deprecated) Scorer (deprecated) Partitioning MultiLayerPerceptronPredictor RProp MLP Learner Table Reader Multi Layer Perceptron A simple example using a multi layerperceptron(MLP) learner and predictor toclassify some image data. For moreinformation on the data set see https://archive.ics.uci.edu/ml/datasets/Statlog+(Landsat+Satellite) normalize datascore resultssplit training setfrom test setuse neural networkto predict classesbuildneural networkread data Normalizer(deprecated) Scorer (deprecated) Partitioning MultiLayerPerceptronPredictor RProp MLP Learner Table Reader

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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On NodePit since: 2021-06-22
Last update: 2024-05-01
Created with KNIME version: v4.3.3

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