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Deep learning
Keras Neural network Image classification LSTM Sequence analysis
+2
  1. Workflow
    Sentiment Analysis with BERT
    Deep Learning NLP Machine Learning
    +8
    This workflow demonstrates how to do sentiment analysis by fine-tuning Google's BERT network. The idea is straight forward: A sma…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 04_TensorFlow2 > 01_BERT_Sentiment_Analysis
    12
  2. Workflow
    Multivariate Time Series Analysis with an RNN - Training
    Time series Deep learning RNN
    +3
    This is a simple example workflow for multivariant time series analysis using an LSTM based recurrent neural network and implemen…
    kathrin > Multivariate Times Series with RNN > Multivariate_Time_Series_RNN_Keras_Training
    4
  3. Workflow
    Simple CNN for Image Classification
    Deep learning Keras Image classification
    This workflow trains a simple convolutional neural network (CNN) on the MNIST dataset using Keras. The enclosed pictures are from…
    kathrin > Codeless Deep Learning with KNIME > Chapter 9 > MNIST_Classification > Image_Classification_MNIST
    3
  4. Workflow
    Sentiment Analysis
    Deep learning Keras Text classification
    +11
    This workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used netwo…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 02_Keras > 08_Sentiment_Analysis_with_Deep_Learning_KNIME_nodes
    3
  5. Workflow
    01_Train GAN for Image Generation
    Deep learning GAN Image generation
    There has been no description set for this workflow's metadata.
    emilio_s > Blogposts > GANs for Image Generation > 01_Train GAN for Image Generation
    2
  6. Workflow
    Multivariate Time Series Analysis with an RNN - Deployment
    Time series Deep learning RNN
    +3
    This is a simple example workflow for the deployment of a multivariant time series, LSTM based, recurrent neural network. It is b…
    kathrin > Multivariate Times Series with RNN > Multivariate_Time_Series_RNN_Keras_Deployment
    2
  7. Workflow
    Sentiment Analysis
    Deep learning Keras Text classification
    +9
    This workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used netwo…
    andisa.dewi > Public > Deep Learning Workshop > Sentiment_Analysis_Deep_Learning
    2
  8. Workflow
    Autoencoder MNIST MidPoint Focus
    Autoencoder Keras Neural network
    +8
    Exploring the latent space of an autoencoder for dimensional reduction
    iceman > Public > Autoencoder MNIST MidPoint Focus
    1
  9. Workflow
    Tic-Tac-Toe Play
    Reinforcment Learning Keras Deep Learning
    +2
    A workflow deploying the network trained in the Tic-Tac-Toe Learn workflow to a KNIME Webportal application to enable interactive…
    corey > Public > Tic-Tac-Toe > Tic-Tac-Toe Play
    1
  10. Workflow
    Tic-Tac-Toe Learn
    Keras Reinforcment Learning Game
    +2
    Training a Reinforcment Learning Model to play Tic-Tac-Toe with the Keras Deep Learning Integration.
    corey > Public > Tic-Tac-Toe > Tic-Tac-Toe Learn
    1
  11. Workflow
    Keras Autoencoder for Fraud Detection Deployment
    Autoencoder Keras Neural network
    +16
    Read Keras model. Read deployment data, which are normalized into range [0,1]. Apply the Keras model to the deployment data, calc…
    knime > Examples > 50_Applications > 39_Fraud_Detection > 04_Keras_Autoencoder_for_Fraud_Detection_Deployment
    1
  12. Workflow
    Mixing Deep Learning with XGBoost
    Deep Learning Machine Learning XGBoost
    +11
    This workflow shows how to train an XGBoost based image classifier that uses a pretrained convolutional neural network to extract…
    christian.birkhold > My Sandbox > Mixing_DL_with_XGBoost
    1
  13. Workflow
    Sentiment Analysis
    Deep learning Keras Text classification
    +9
    This workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used netwo…
    scottf > Public > TextMiningWebinar > Sentiment > Sentiment_Deep_Learning
    1
  14. Workflow
    KNIME Deep Learning - Classify images using ResNet50
    Deep learning Keras Image classification
    This workflow performs classification on some sample images using the ResNet50 deep learning network architecture, trained on Ima…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 02_Keras > 02_Classify_images_using_ResNet50
    1
  15. Workflow
    Different options to train an autoencoder using TensorFlow 2
    Autoencoder Keras Neural network
    +5
    This workflow shows the different options of training and executing a network using TF2 on the example of an autoencoder: Option …
    knime > Examples > 04_Analytics > 14_Deep_Learning > 04_TensorFlow2 > 02_Tensorflow2_Autoencoder_for_Fraud_Detection_Training
    1
  16. Workflow
    Cell Segmentation
    Unet Tensorflow2 TF2
    +4
    This workflow uses Tensorflow2 to create and train a Unet for segmenting cell images. The trained network is used to predict the …
    knime > Examples > 04_Analytics > 14_Deep_Learning > 04_TensorFlow2 > 03_Tensorflow2_CellSegmentation
    1
  17. Workflow
    Energy Demand Prediction with LSTM - Deployment
    Time Series Prediction Energy Usage
    +4
    This workflow applies an LSTM network to predict energy demand using lagged values of a time series as input.
    kathrin > Codeless Deep Learning with KNIME > Chapter 6 > 02_TSA_with_LSTM_Network_Deployment
    1
  18. Workflow
    Keras Autoencoder for Fraud Detection - Training
    Autoencoder Keras Neural network
    +12
    This workflow trains an autoendcoder model to detect fraudulent transactions.
    kathrin > Codeless Deep Learning with KNIME > Chapter 5 > 01_Autoencoder_for_Fraud_Detection_Training
    1
  19. Workflow
    Keras Autoencoder for Fraud Detection - Deployment
    Autoencoder Keras Neural network
    +15
    This workflow applies a trained autoencoder model to detect fraudulent transactions.
    kathrin > Codeless Deep Learning with KNIME > Chapter 5 > 02_Autoencoder_for_Fraud_Detection_Deployment
    1
  20. Workflow
    Keras Autoencoder for Fraud Detection Training
    Autoencoder Keras Neural network
    +16
    Partition numeric input data into a training, test, and validation set. Normalize the data into range [0,1]. Build a Keras autoen…
    knime > Examples > 50_Applications > 39_Fraud_Detection > 03_Keras_Autoencoder_for_Fraud_Detection_Training
    1