This workflow shows an example of the View of the DL4J Feedforward Leaner nodes.

This example shows how to transform a document into a vector using a word vector model and using these vectors for classification…

This workflow shows how to use an MLP to predict a target value of a small real world example dataset. Dataset and description av…

This example shows how to perform sentiment classification using word vectors. In this example, we use IMDb reviews which have ei…

First, we read in a dataset containing sentences and assign each document a unique label. The unique label is used to create a do…

This workflow shows how to create an MLP with a softmax layer for classification.

This workflow shows how to create an MLP with a softmax layer for image classification. Workflow Requirements KNIME Analytics Pla…

This workflow shows how to create a simple convolutional network and use it for image classification.

First, we read in a dataset containing sentences and assign each document a unique label. The unique label is used to create a do…

This example shows how to perform sentiment classification using word vectors. In this example, we use IMDb reviews which have ei…

This workflow shows how to do anomaly detection of the MNIST dataset using a convolutional network. Workflow Requirements KNIME A…

This workflow shows how to use an MLP for regression of simple functions. Workflow Requirements KNIME Analytics Platform 3.4.0 KN…

This workflow shows an example of how to detect the fonts of letters using a convolutional network. Credits to: Kevin Mader, 4Qua…

This workflow shows an example of image classification of celebrity faces using AlexNet. Note: Due to the size of the network, th…

This workflow shows basic concepts of the KNIME Deeplearning4J Integration.