NodePython Source (deprecated)

Source

Allows execution of a Python script in a local Python installation. The path to the Python executable has to be configured in Preferences → KNIME → Python.

Output Ports

  1. Port Type: Data
    The output table. This is the content of the variable output_table which has to be defined and has to be of the type pandas.DataFrame for this node to successfully execute.

  1. Classifying handwritten digits using KNIME, DL4J and a LeNet variant

    deep learning GPU image classification digit recognition Le Net
    The workflow downloads, uncompresses and preprocesses the orignal MNIST dataset from: http://yann.lecun.com/exdb/mnist/ …
    aajaradata > 01_Using_DeepLearning4J_to_classify_MNIST_Digits

  2. Classifying handwritten digits using KNIME, DL4J and a LeNet variant

    deep learning GPU image classification digit recognition Le Net
    The workflow downloads, uncompresses and preprocesses the orignal MNIST dataset from: http://yann.lecun.com/exdb/mnist/ …
    shima0011 > 04_Analytics > 14_Deep_Learning > 01_DL4J > 14_DeepLearningTutorial_MNIST > 01_Using_DeepLearning4J_to_classify_MNIST_Digits

  3. Classifying handwritten digits using KNIME, DL4J and a LeNet variant

    deep learning GPU image classification digit recognition Le Net
    The workflow downloads, uncompresses and preprocesses the orignal MNIST dataset from: http://yann.lecun.com/exdb/mnist/ …
    aajaradata > 001_Using_DeepLearning4J_to_classify_MNIST_Digits

  4. Classifying handwritten digits using KNIME, DL4J and a LeNet variant

    deep learning GPU image classification digit recognition Le Net
    The workflow downloads, uncompresses and preprocesses the orignal MNIST dataset from: http://yann.lecun.com/exdb/mnist/ …
    knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J > 14_DeepLearningTutorial_MNIST > 01_Using_DeepLearning4J_to_classify_MNIST_Digits