Training Tensorflow MLP

This workflow uses the TensorFlow Python bindings to create and train a multilayer perceptron using the Python API. The trained network is then used to predict the class of unseen data. For more information on the dataset see https://archive.ics.uci.edu/ml/datasets/Statlog+(Landsat+Satellite)

Training Tensorflow MLP

 

Resources

EXAMPLES Server: 04_Analytics/14_Deep_Learning/03_TensorFlow/02_Training_Tensorflow_MLP04_Analytics/14_Deep_Learning/03_TensorFlow/02_Training_Tensorflow_MLP*
Download a zip-archive

 

 


* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually