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Tensorflow
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Classification Data Mining Deep Learning Dimensionality Reduction Embedding
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  1. 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
  2. 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
  3. 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
  4. 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…
    yusupov > Public > Mixing_DL_with_XGBoost
    0
  5. Workflow
    Mixing_DL_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…
    nemad > Public > Mixing_DL_with_XGBoost
    0
  6. 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…
    lyudmila > Public > Mixing_DL_with_XGBoost
    0