Train a simple Multilayer Perceptron using TensorFlow 2

This workflow shows how to train a simple multilayer perceptron for classification. It is demonstrated how the "DL Python Network Creator" can be used to create a simple neural network using the tf.keras API and how the "DL Python Network Learner" can be used to train the created network on data.

In order to run the example, please make sure you have the following KNIME extensions installed:

* KNIME Deep Learning - TensorFlow 2 Integration (Labs)

You also need a local Python installation that includes TensorFlow 2. Please refer to https://docs.knime.com/latest/deep_learning_installation_guide/#dl_python_setup for installation recommendations and further information.

External resources

• KNIME Deep Learning Integration Installation Guide