342 results
- Go to itemThis workflow demonstrates how to do sentiment analysis by fine-tuning Google's BERT network. The idea is straight forward: A sma…12
- Go to itemThis is a simple example workflow for multivariant time series analysis using an LSTM based recurrent neural network and implemen…6
- Go to itemThis workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used netwo…3
- Go to itemThis workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used netwo…3
- Go to itemThis workflow trains a simple convolutional neural network (CNN) on the MNIST dataset using Keras. The enclosed pictures are from…3
- Go to itemThis workflow issues POST requests to the OpenAI API, and uses the model that powers ChatGPT to create a chat dashboard.3
- Go to itemHere we use word embedding instead of hot encoding, using a Word2Vec Learner node. The hidden layer size is set to 10, therefore …2
- Go to itemRead and preprocess an image dataset to train a GAN (Generative Adversarial Network) that produces similar images. The Discrimina…2
- Go to itemThis is a simple example workflow for the deployment of a multivariant time series, LSTM based, recurrent neural network. It is b…2
- Go to itemThis workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used netwo…1
- Go to itemCompares the Keras Layer Nodes against the DL Python nodes. Builds four models which attempt to predict future sales. Two models …1
- Go to itemA workflow deploying the network trained in the Tic-Tac-Toe Learn workflow to a KNIME Webportal application to enable interactive…1
- Go to itemTraining a Reinforcment Learning Model to play Tic-Tac-Toe with the Keras Deep Learning Integration.1
- Go to itemThis workflow performs classification on some sample images using the InceptionV3 deep learning network architecture, trained on …1
- Go to itemThis workflow performs classification on some sample images using the ResNet50 deep learning network architecture, trained on Ima…1
- Go to itemThis workflow shows the different options of training and executing a network using TF2 on the example of an autoencoder: Option …1
- Go to itemThis workflow uses Tensorflow2 to create and train a Unet for segmenting cell images. The trained network is used to predict the …1
- Go to itemThis workflow trains a simple convolutional neural network (CNN) on the MNIST dataset via Keras. You can use either a code based …1
- Go to itemThis workflow shows how to train an XGBoost based image classifier that uses a pretrained convolutional neural network to extract…1