NodeDL Python Network Creator

Source

This node allows custom creation of a (Python compatible) deep learning network in a local Python installation via a user-defined script. The path to the Python executable has to be configured in Preferences → KNIME → Python. It also allows to import Jupyter notebooks as Python modules via the knime_jupyter module that is part of the Python workspace.

Output ports
  1. Deep Learning Network Type: DLPythonNetworkPortObject
    The output deep learning network. This is the content of the variable output_network which has to be defined in the script and has to be a deep learning network known to KNIME. The network can then be used in common "DL Python" nodes or in nodes which are specific to the network type.
  1. Read Images and Train VGG
    Life Science Image Analysis Deep Learning Keras
    This workflow reads image patches downloaded and prepared by the previous workflows in the workflow group. It loads the…
    knime > Examples > 50_Applications > 31_Histopathology_Blog_Post > _legacy_version > 02_Read_Images_and_Train_VGG
  2. Semantic Segmentation with Deep Learning in KNIME
    deep learning image processing image analysis computer vision unet neural network segmentation semantic segmentation encoder decoder pixel classification NLP Natural Language Processing Python
    This workflow shows how the new KNIME Keras integration can be used to train and deploy a specialized deep neural netwo…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 02_Keras > 06_Semantic_Segmentation
  3. Read Images and Train VGG
    Life Science Image Analysis Deep Learning Keras
    This workflow reads image patches downloaded and prepared by the previous workflows in the workflow group. It loads the…
    b_eslami > Public > 31_Histopathology_Blog_Post > _legacy_version > 02_Read_Images_and_Train_VGG
  4. Image Recognition for Retail Use Case: Data Preparation & Building Convolutional Neural Network (CNN) Workflow
    We used neural networks for the image recognition task. Neural networks are massively parallel adaptive processing stru…
    knime > Examples > 50_Applications > 47_Image_Recognition_for_Retail > 01_Data_Preparation_and_CNN_Training
  5. Train MNIST classifier
    deep learning TensorFlow image classification
    This workflow trains a simple convolutional neural network (CNN) on the MNIST dataset via TensorFlow.
    hawk326040 > Public > 03_Train_MNIST_classifier
  6. isolate_keras_error
    marcelw > Public > isolate_keras_error
  7. Neural Machine Translation English to German
    deep learning keras sequence analysis text analysis text processing machine translation neural machine translation neural language translation lstm encoder decoder neural network sequence to sequence NLP Natural Language Processing Python
    Uses a character level encoder-decoder network of LSTMs. The encoder network reads the input sentence character by char…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 02_Keras > 05_Neural_Machine_Translation
  8. Train simple CNN
    deep learning Keras image classification
    In this workflow we create a simple Convolutional Neural Network using the DL Python Network Creator. We train this net…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 02_Keras > 04_Cats_and_Dogs > 02_Train_simple_CNN
  9. KNIME Deep Learning - Train MNIST classifier
    deep learning Keras image classification
    This workflow trains a simple convolutional neural network (CNN) on the MNIST dataset via Keras.
    knime > Examples > 04_Analytics > 14_Deep_Learning > 02_Keras > 03_Train_MNIST_classifier
  10. [KNIME Nodes] KN-302 Sales Demand Forecasting Neural Networks
    Neural Network Deep Learning Kaggle
    Provides a Neural Network solution to the Kaggle Store Item Demand Forecasting Challenge. Input contains 5 years of sto…
    scientificstrategy > Public > KNIME Nodes > KN-302 Advanced Demand Forecasting Neural Networks v03