Hub

74 results

Filter
Filter by tag
Neural network
Deep learning
Keras Sequence analysis Text analysis Text processing Lstm Classification
  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
    Distances on Word Embeddings
    Word embedding Word2Vec Neural network
    +3
    Here we use word embedding instead of hot encoding, using a Word2Vec Learner node. The hidden layer size is set to 10, therefore …
    knime > Examples > 08_Other_Analytics_Types > 01_Text_Processing > 21_Word_Embedding_Distance
    2
    knime
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  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
    janina
  11. 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
    knime
  12. 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
  13. 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
    knime
  14. 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
    knime
  15. 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
  16. Workflow
    Energy Consumption Forecasting with LSTM
    Time Series Prediction Energy Usage
    +4
    This workflow predicts time series (energy consumption) by an LSTM network with lagged values as input. The trained model is then…
    sthi > Public > Energy Consumption Forecasting with LSTM
    0
    sthi
  17. Workflow
    Solution to the Exercise 8: LSTM Network
    Time Series Prediction Energy Usage
    +4
    This workflow predicts the irregular component of time series (energy consumption) by an LSTM network with lagged values as input…
    maarit > Public > Demos > 03_LSTM_Network
    0
    maarit
  18. Workflow
    Sentiment Analysis with Call Workflow - Deployment
    Deep learning Keras Text classification
    +9
    stockdaa > Public > Sentiment_Analysis_Deployment_with_Call_Workflow 1 ExcelV01(5) 2
    0
    stockdaa
  19. 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 > Text Processing Webinar > Sentiment_Analysis_Workshop > Solutions > Solution_Deep_Learning
    0
    scottf
  20. Workflow
    Sentiment Analysis
    Deep learning Keras Text classification
    +12
    This workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used netwo…
    pg42920 > Public > 07_Sentiment_Analysis_with_Deep_Learning
    0
    pg42920