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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 layer perceptron(MLP)learner and predictor to classify some image data. Formore information 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 Scorer Partitioning MultiLayerPerceptronPredictor RProp MLP Learner Table Reader Multi Layer Perceptron A simple example using a multi layer perceptron(MLP)learner and predictor to classify some image data. Formore information 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 dataNormalizer Scorer 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: 2019-07-12
Last update: 2024-04-26
Created with KNIME version: v4.1.0

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