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02_​Training_​Tensorflow_​MLP

Train a MLP

This workflow uses the TensorFlow Python bindings to create and train a multilayer perceptron using the Python API. The trained network is then used to predict the class of unseen data. For more information on the dataset see https://archive.ics.uci.edu/ml/datasets/Statlog+(Landsat+Satellite)

In order to run the example, please make sure you have the following KNIME extensions installed:

* KNIME Deep Learning - TensorFlow Integration (Labs)

You also need a local Python installation that includes TensorFlow. Please refer to https://www.knime.com/deeplearning/tensorflow for installation recommendations and further information.

KNIME Deep Learning - TensorFlow - Train a MLPThis workflow uses the TensorFlow Python bindings to createand train a multilayer perceptron using the Python API. Thetrained network is then used to predict the class of unseen data.For more information on the dataset see https://archive.ics.uci.edu/ml/datasets/Statlog+(Landsat+Satellite) Normalize dataSplit training setfrom test setRead dataTo one-hotvectorCreate TensorFlowMLPTrain MLPExecute ontest dataCombine intoclass columnEvaluateSort classesRename classcolumnSave the model Normalizer Partitioning Table Reader One to Many DL PythonNetwork Creator DL PythonNetwork Learner DL Network Executor(deprecated) Many to One Scorer Column Resorter Column Rename TensorFlowNetwork Writer KNIME Deep Learning - TensorFlow - Train a MLPThis workflow uses the TensorFlow Python bindings to createand train a multilayer perceptron using the Python API. Thetrained network is then used to predict the class of unseen data.For more information on the dataset see https://archive.ics.uci.edu/ml/datasets/Statlog+(Landsat+Satellite) Normalize dataSplit training setfrom test setRead dataTo one-hotvectorCreate TensorFlowMLPTrain MLPExecute ontest dataCombine intoclass columnEvaluateSort classesRename classcolumnSave the modelNormalizer Partitioning Table Reader One to Many DL PythonNetwork Creator DL PythonNetwork Learner DL Network Executor(deprecated) Many to One Scorer Column Resorter Column Rename TensorFlowNetwork Writer

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Download

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

Download Workflow
Created by: bw
Created at: 2018-06-25
On NodePit since: 2019-07-12
Last update: 2026-09-09
Created with KNIME version: v4.1.0
Tags: deep learningTensorFlow

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