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  7. Autoencoder MNIST MidPoint FocusAutoencoder MNIST MidPoint Focus
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Autoencoder MNIST MidPoint Focus

Exploring the latent space of an autoencoder for dimensional reduction

Nodes

  • Integer Configuration40 ×
  • Keras Dense Layer34 ×
  • Column Filter21 ×
  • Single Selection Configuration20 ×
  • Component Input19 ×
  • Show all 57 nodes

Extensions

  • FeatureKNIME Base nodes
  • FeatureKNIME Conda Integration
  • FeatureKNIME Deep Learning - Keras Integration
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  • Show all 11 modules

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Download

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

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Created by: Maarit Laukkanen
Created at: 2019-02-25
On NodePit since: 2021-10-12
Last update: 2025-05-12
Created with KNIME version: v5.3.3
Tags: autoencoderKerasneural networkdeep learningencoderdecoderreconstructionfraud detectionanomaly detectionmodel evaluationeducation

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