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Deep Learning Neural network Sequence analysis Text analysis Text processing Image classification LSTM
  1. 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
    3
    andisa.dewi
  2. 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
    knime
  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
    kathrin
  4. 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
    corey
  5. 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
    corey
  6. Workflow
    KNIME Deep Learning - Train MNIST classifier with Keras nodes
    Deep learning Keras Image classification
    This workflow trains a simple convolutional neural network (CNN) on the MNIST dataset via Keras. You can use either a code based …
    scottf > Public > Train_MNIST_classifier_Keras_Nodes
    1
    scottf
  7. 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 > Deep Learning with XGBoost > Mixing_DL_with_XGBoost
    1
    christian.birkhold
  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
    iceman
  9. 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
    kathrin
  10. 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
    kathrin
  11. Workflow
    Image Classification Application
    Deep learning Keras Image classification
    +3
    This workflow reads images of cats and dogs, performs some simple preprocessing, and trains and evaluates a Convolutional Neural …
    emilio_s > Simple Examples > Image Classification Application
    1
    emilio_s
  12. Workflow
    ECG Heartbeat Classification Dataset (PTB)
    ECG Conv1D Neural Network
    +4
    This ECG dataset is provided by Physikalisch-Technische Bundesanstalt (PTB) and is available on Kaggle (https://www.kaggle.com/sh…
    knime > Digital Healthcare > ECG Arrythmia Detection > ecg_cnn_ptb
    1
    knime
  13. Workflow
    ECG MIT-BIH Data Analysis and Modelling
    ECG Arrhythmia CNN
    +6
    This is also the ECG dataset from Kaggle, put together from PhysioNet MIT-BIH Arrhythmia (https://www.kaggle.com/shayanfazeli/hea…
    knime > Digital Healthcare > ECG Arrythmia Detection > ecg_cnn_mit
    1
    knime
  14. 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
    kathrin
  15. Workflow
    Energy Demand Prediction with LSTM - Training
    Time Series Prediction Energy Usage
    +4
    This workflow trains and applies an LSTM network to predict energy demand using lagged values of a time series as input. In the E…
    kathrin > Codeless Deep Learning with KNIME > Chapter 6 > 01_TSA_with_LSTM_Network_Training
    1
    kathrin
  16. Workflow
    Building a Sentiment Analysis Predictive Model - Deep Learning using an RNN
    Sentiment analysis Sentiment Machine learning
    +4
    This workflow uses a Kaggle Dataset including 14K customer tweets towards six US airlines (https://www.kaggle.com/crowdflower/twi…
    knime > Machine Learning and Marketing > Consumer Mindset Metrics > Sentiment Analysis > Deep Learning > Building Sentiment Predictor - Deep Learning
    1
    knime
  17. Workflow
    U-Net Encoder Decoder Architecture for Cell Segmentation
    Cell segmentation Cell image Neural network
    +4
    This workflow creates and trains a Unet for segmenting cell images. The trained network is used to predict the segmentation of un…
    janina > Public > UNet_Keras_CellSegmentation
    1
    janina
  18. 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
    scottf
  19. 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
    knime
  20. 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
    knime