NodeNode / Predictor

Keras Network Executor

streamable

This node executes a Keras deep learning network on a compatible external back end that can be selected by the user.

External resources
Input ports
  1. Keras Network Type: Keras Deep Learning Network
    The Keras deep learning network.
  2. Data Table Type: Data
    The input table.
Output ports
  1. Data Table Type: Data
    The output table.
  1. [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
  2. [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. T…
    scientificstrategy > Public > KNIME Nodes > KN-301 Simple Demand Forecasting Neural Networks v03
  3. Techniques for Dimensionality Reduction
    ETL big data data preprocessing +11
    This workflow performs classification on data sets that were reduced using the following dimensionality reduction techn…
    dg-clarkston > Public > dimension_reduction_techniques
  4. Techniques for Dimensionality Reduction
    ETL big data data preprocessing +11
    This workflow performs classification on data sets that were reduced using the following dimensionality reduction techn…
    knime > Examples > 04_Analytics > 01_Preprocessing > 02_Techniques_for_Dimensionality_Reduction > 02_Techniques_for_Dimensionality_Reduction
  5. Map Softmax Output to Class Names Example
    deep learning Keras image classification
    This workflow shows how to map softmax output of a classification network to class names.
    davek > Public > Map Softmax Output to Class Names Example
  6. Fine-tune VGG16
    deep learning Keras image classification +2
    In this workflow we are fine-tuning a ResNet50 (https://keras.io/api/applications/resnet/#resnet50-function). First, we…
    davek > Public > DL_Workshop_ImgAna_2020 > CatsDogsClassification > 03_Fine-tune_ResNet50
  7. Making the Pass, Part 2 - Training
    Machine Learning Keras
    Training a neural network using Keras.
    pwisneskey > Public > Making the Pass, Part 2 - Training
  8. Read Images and Train VGG
    Life Science Image Analysis Deep Learning +1
    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
  9. Train simple CNN
    deep learning Keras image classification +2
    In this workflow we create a simple Convolutional Neural Network using the Keras Layer nodes. We train this network on …
    davek > Public > DL_Workshop_ImgAna_2020 > CatsDogsClassification > 02_Train_simple_CNN
  10. Read Images and Train VGG
    Life Science Image Analysis Deep Learning +1
    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 > 00_Keras_Transfer_Learning