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

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

Exploring the latent space of an autoencoder for dimensional reduction

This ECG dataset is provided by Physikalisch-Technische Bundesanstalt (PTB) and is available on Kaggle (https://www.kaggle.com/sh…

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

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

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

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

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

This workflow trains an autoendcoder model to detect fraudulent transactions.

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

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

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

Uses a character level encoder-decoder network of LSTMs. The encoder network reads the input sentence character by character and …

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

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 performs classification on some sample images using the ResNet50 deep learning network architecture, trained on Ima…

This workflow performs classification on some sample images using the InceptionV3 deep learning network architecture, trained on …