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Deeplearning
Deep Learning Keras Neural network LSTM Image classification Sequence analysis Text analysis Text processing
  1. Go to item
    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
    knime
  2. Go to item
    Workflow
    ChatGPT as a KNIME chat dashboard
    ChatGPT GPT-3 OpenAI
    +4
    This workflow issues POST requests to the OpenAI API, and uses the model that powers ChatGPT to create a chat dashboard.
    roberto_cadili > Public > ChatGPT as a KNIME chat dashboard
    6
    roberto_cadili
  3. Go to item
    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
    6
    kathrin
  4. Go to item
    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
  5. Go to item
    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
  6. Go to item
    Workflow
    01_Train GAN for Image Generation
    Deep learning GAN Image generation
    Read and preprocess an image dataset to train a GAN (Generative Adversarial Network) that produces similar images. The Discrimina…
    emilio_s > Blogposts > GANs for Image Generation > 01_Train GAN for Image Generation
    3
    emilio_s
  7. Go to item
    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
  8. Go to item
    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
    kathrin
  9. Go to item
    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
  10. Go to item
    Workflow
    BBC Documents classification with BERT extension
    #BERT #deeplearning #textmining
    +1
    This workflow demonstrates how to conduct multiclass classification using the Redfield BERT Nodes. After 2 epochs of training, th…
    lada > Public > Examples > BBC Documents multiclass classification with BERT extension
    2
    lada
  11. Go to item
    Workflow
    Zero-shot text classification for Emotion Analysis
    Emotion detection Emotion analysis Emotions classification
    +6
    This workflow shows how to use Symanto Brain for zero-shot text classification for the task of emotions classification.
    Symanto Team > Symanto Text Classification Workflows > Zero-shot text classification and evaluation for Emotion Analysis
    1
    Symanto Team
  12. Go to item
    Workflow
    Zero-shot text classification for Sentiment Analysis in German
    Text classification Sentiment analysis Deep learning
    +3
    This workflow shows how to use Symanto Brain for zero-shot text classification for the task of sentiment classification.
    Symanto Team > Symanto Text Classification Workflows > Zero-shot text classification and evaluation for Sentiment Analysis in German
    1
    Symanto Team
  13. Go to item
    Workflow
    Zero-shot text classification and evaluation for Sentiment Analysis in Spanish
    Sentiment analysis Text classification Machine learning
    +5
    This workflow shows how to use Symanto Brain for zero-shot text classification for the task of sentiment classification.
    Symanto Team > Symanto Text Classification Workflows > Zero-shot text classification and evaluation for Sentiment Analysis in Spanish
    1
    Symanto Team
  14. Go to item
    Workflow
    Zero-shot text classification for Sentiment Analysis in English
    Text classification Sentiment analysis Deep Learning
    +5
    This workflow shows how to use Symanto Brain for zero-shot text classification for the task of sentiment classification.
    Symanto Team > Symanto Text Classification Workflows > Zero-shot text classification and evaluation for Sentiment Analysis in English
    1
    Symanto Team
  15. Go to item
    Workflow
    [KNIME Nodes] KN-301 Simple Demand Forecasting Neural Networks
    Neural Networks Deep Learning Sales Forecast
    Compares the Keras Layer Nodes against the DL Python nodes. Builds four models which attempt to predict future sales. Two models …
    scientificstrategy > Public > KNIME Nodes > KN-301 Simple Demand Forecasting Neural Networks v05
    1
    scientificstrategy
  16. Go to item
    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
  17. Go to item
    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
  18. Go to item
    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
  19. Go to item
    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
  20. Go to item
    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

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