use H2O.ai auto-machine-learning to just generate deep learning models
to compare that to architectures you have created with Keras or Temsor Flow 2 in KNIME (cf. the other workflows in this collection)
please download the complete DeepLearning (Keras, Tensorflow, H2O.ai) Workflow group:
https://hub.knime.com/mlauber71/spaces/Public/latest/kn_example_deeplearning_keras_tensorflow_classification~G8jl-DTMCBqoxyB9/
URL: H2O.ai AutoML in KNIME for classification problems https://forum.knime.com/t/h2o-ai-automl-in-knime-for-classification-problems/20923
URL: please download the complete DeepLearning (Keras, Tensorflow, H2O.ai) Workflow group https://hub.knime.com/mlauber71/spaces/Public/latest/kn_example_deeplearning_keras_tensorflow_classification~G8jl-DTMCBqoxyB9/
URL: H2O.ai - Deep Learning (Neural Networks) https://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/deep-learning.html
URL: (video) - Automatic & Explainable Machine Learning with H2O: Erin LeDell, H2O.ai - "Deep Learning" https://www.youtube.com/watch?v=4fsmLRa1NqE&t=642
To use this workflow in KNIME, download it from the below URL and open it in KNIME:
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