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Keras
Deep Learning Neural network Image classification Sequence analysis Text analysis
+2
  1. 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
  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
  3. 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
  4. 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
  5. 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
  6. 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
  7. Workflow
    ECG Heartbeat Classification Dataset (PTB)
    ECG Conv1D Neural Network
    +3
    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
  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
    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
  11. Workflow
    ECG MIT-BIH Data Analysis and Modelling
    ECG Arrhythmia CNN
    +5
    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
  12. Workflow
    Wide and Deep Learning on the Census dataset
    Deep learning Wide learning Tensorflow
    +2
    This workflow shows one way of applying deep learning to tabular data. The main focus of the workflow lies on data preparation an…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 02_Keras > 09_Wide_and_Deep_Learning_on_Census_Dataset
    1
  13. 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
  14. Workflow
    Neural Machine Translation from English to German: Training Workflow
    Deep learning Keras Sequence analysis
    +12
    Uses a character level encoder-decoder network of LSTMs. The encoder network reads the input sentence character by character and …
    knime > Examples > 04_Analytics > 14_Deep_Learning > 02_Keras > 12_Machine_Translation > 01_Training_a_Neural_Machine_Translation_Model
    1
  15. 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
  16. Workflow
    Preprocess image data
    Deep learning Keras Image classification
    In this workflow we pre-process the image data, which we will use throughout the following example workflows. Please note: The wo…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 02_Keras > 04_Cats_and_Dogs > 01_Preprocess_image_data
    1
  17. 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
  18. 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
  19. 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
  20. 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