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Riyan Shah A-3883-2023

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input layer 4 units
Keras Input Layer
extract prediction
Rule Engine
RMSProp 200 epochs
Keras Network Learner
evaluate network performance
Scorer
to [0,1]
Normalizer
CSV Reader
80% for training20% for testing
Table Partitioner
Column Filter
hidden layer8 unitsReLu act. function
Keras Dense Layer
apply normaliz. function
Normalizer (Apply)
Missing Value
apply trained network
Keras Network Executor
Rule Engine
output layer3 unitsSoftmax act. function
Keras Dense Layer

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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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Created by: Emilio Silvestri
Created at: 2020-02-12
On NodePit since: 2026-10-07
Last update: 2026-10-12
Created with KNIME version: v5.12.0
Tags: The GuideBookBackPropagationPerceptronneural networksdeep learningGIDS

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