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04_​Network_​Example_​Of_​A_​MLP_​For_​Images

Example of a simple Multi Layer Perceptron trained on Images

This workflow shows how to create an MLP with a softmax layer for image classification.

Workflow Requirements
KNIME Analytics Platform 3.4.0
KNIME Deeplearning4J Integration
KNIME Image Processing - Deeplearning4J Integration

Example of a simple Multi Layer Perceptron trained on ImagesThis workflow shows how to create a Multi Layer Perceptron with a softmax layer for classification. Inthis example the MLP is used to classify images of the MNIST dataset. Score predictionsView training imagessplit into trainand test set Scorer Image Viewer SimpleMLP Learning Prediction Row Splitter Read Images Example of a simple Multi Layer Perceptron trained on ImagesThis workflow shows how to create a Multi Layer Perceptron with a softmax layer for classification. Inthis example the MLP is used to classify images of the MNIST dataset. Score predictionsView training imagessplit into trainand test setScorer Image Viewer SimpleMLP Learning Prediction Row Splitter Read Images

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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: David Kolb
Created at: 2016-06-09
On NodePit since: 2019-07-12
Last update: 2024-04-26
Created with KNIME version: v4.1.0
Tags: deeplearningmachine learningclassificationneural networksmlpperceptron

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