This workflow trains a simple convolutional neural network (CNN) on the MNIST dataset using Keras. The enclosed pictures are from…

This workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used netwo…

This workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used netwo…

This is also the ECG dataset from Kaggle, put together from PhysioNet MIT-BIH Arrhythmia (https://www.kaggle.com/shayanfazeli/hea…

Exploring the latent space of an autoencoder for dimensional reduction

This workflow shows how to train an XGBoost based image classifier that uses a pretrained convolutional neural network to extract…

This workflow trains a simple convolutional neural network (CNN) on the MNIST dataset via Keras. You can use either a code based …

This workflow trains an autoendcoder model to detect fraudulent transactions.

This workflow applies a trained autoencoder model to detect fraudulent transactions.

This workflow creates and trains a Unet for segmenting cell images. The trained network is used to predict the segmentation of un…

This workflow trains and applies an LSTM network to predict energy demand using lagged values of a time series as input. In the E…

This workflow applies an LSTM network to predict energy demand using lagged values of a time series as input.

Training a Reinforcment Learning Model to play Tic-Tac-Toe with the Keras Deep Learning Integration.

A workflow deploying the network trained in the Tic-Tac-Toe Learn workflow to a KNIME Webportal application to enable interactive…

This workflow reads images of cats and dogs, performs some simple preprocessing, and trains and evaluates a Convolutional Neural …

Partition numeric input data into a training, test, and validation set. Normalize the data into range [0,1]. Build a Keras autoen…

Read Keras model. Read deployment data, which are normalized into range [0,1]. Apply the Keras model to the deployment data, calc…

This workflow shows one way of applying deep learning to tabular data. The main focus of the workflow lies on data preparation an…

This workflow shows the different options of training and executing a network using TF2 on the example of an autoencoder: Option …

In this workflow we pre-process the image data, which we will use throughout the following example workflows. Please note: The wo…