a simple deep learning network for binary classification using the KNIME Keras integration (with a Python environment propagation)
Please note this example should demonstrate how to set up the deep learning environment with Keras and provide a working simple example.
Adapted from: https://kni.me/w/Cm0lqIKkvThyHAD-
"This workflow trains a fully connected, feedforward network using the adult dataset."
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/
External resources
- envconfigs - KNIME Python Integration (YML files)
- forum - use conda environment propagation to set up python deep learning
- you will need a working Anaconda oder Miniconda installation
- (official) KNIME Deep Learning Integration Installation Guide
- Meta Collection about KNIME and Python
- (official) KNIME Python Integration Guide
- please download the complete DeepLearning (Keras, Tensorflow, H2O.ai) Workflow group
- Your First Deep Learning Project in Python with Keras Step-By-Step
- Simple Example for Binary Classification with Keras
- Codeless Deep Learning with KNIME
Used extensions & nodes
Created with KNIME Analytics Platform version 4.5.0
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