This workflow demonstrates how to do sentiment analysis by fine-tuning Google's BERT network. The idea is straight forward: A sma…

This is a simple example workflow for multivariant time series analysis using an LSTM based recurrent neural network and implemen…

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 issues POST requests to the OpenAI API, and uses the model that powers ChatGPT to create a chat dashboard.

Here we use word embedding instead of hot encoding, using a Word2Vec Learner node. The hidden layer size is set to 10, therefore …

Read and preprocess an image dataset to train a GAN (Generative Adversarial Network) that produces similar images. The Discrimina…

This is a simple example workflow for the deployment of a multivariant time series, LSTM based, recurrent neural network. It is b…

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

Compares the Keras Layer Nodes against the DL Python nodes. Builds four models which attempt to predict future sales. Two models …

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

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

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

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

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

This workflow uses Tensorflow2 to create and train a Unet for segmenting cell images. The trained network is used to predict the …

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

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

Exploring the latent space of an autoencoder for dimensional reduction