kn_example_deeplearning_keras_tensorflow_classification
This directory contains 5 workflows.
kn_deeplearn_010_prepare_adult_dataset
Prepare the "adult" or "census-income" dataset for the use in deep learning nodes and models. Convert numbers to double and do a label enconding on the […]
kn_deeplearn_050_tensorflow2_basic_mlp
Train a simple Multilayer Perceptron using TensorFlow 2 for a binary classification This workflow shows how to train a simple multilayer perceptron for […]
kn_deeplearn_100_keras_basic
a simple deep learning network for binary classification using the KNIME Keras integration (with a Python environment propagation) Please note this example […]
kn_deeplearn_200_h2o_automl_dl
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 […]
kn_deeplearn_900_collect_results
collect the results and sort them so you could easily see which models work best. For Target 0/1 models Gini coefficient and Top Decile Lift should be […]