Hub
NodeNode / Other

Keras Dense Layer

Analytics Integrations Deep Learning Keras Layers
+1
Drag & drop
Like
Copy short link

A densely connected layer that connects each unit of the layer input with each output unit of this layer. Corresponds to the Keras Dense Layer .

Node details

Input ports
  1. Type: Keras Deep Learning Network
    Keras Network
    The Keras deep learning network to which to add a Dense layer.
Output ports
  1. Type: Keras Deep Learning Network
    Keras Network
    The Keras deep learning network with an added Dense layer.

Extension

The Keras Dense Layer node is part of this extension:

Related workflows & nodes

  1. Convert a Network created with Keras to TensorFlow 2
    Deep Learning TensorFlow 2 Tf
    +1
    This workflow shows how a model created with Keras can be converted to be used with the T…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 04_TensorFlow2 > 06_Convert_from_Keras_to_Tensorflow2
  2. KNIME_predict cylinder(2)
    knimeoutjie > Public > KNIME_predict cylinder(2)
  3. isolate_keras_error_2
    marcelw > Public > isolate_keras_error_2
  4. 03 Define DL Network with Keras
    This workflow is part of a collection of exercise/solution materials used at a hands on w…
    knime > Life Sciences > Events > 2020_09_GCB_Workshop > Solutions > 03_Define_DL_Network_with_Keras_solution
  5. Simple Example for Multiclass Classification with Keras
    Perceptron Neural networks Deep learning
    This workflow trains a fully connected feedforward neural network with 4-8-3 units per la…
    kathrin > Codeless Deep Learning with KNIME > Chapter 4 > Basic_Example_Iris_Dataset
  6. Classifying the iris dataset with ANN 4-3-1
    BackPropagation Perceptron Neural networks
    +2
    Exercise of the L4-DL Introduction to Deep Learning Course. The goal is to train a multil…
    knime > Education > Courses > L4-DL Introduction to Deep Learning > Session1 > Solutions > 01_Iris_Classification_ANN_Solution
  7. Classifying the iris dataser with ANN 4-3-1
    The GuideBook BackPropagation Perceptron
    +3
    This workflow trains a multiplayer Perceptron with 4-8-3 layers, using BackPropagation, t…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter9 > 02_NeuralNetwork_DeepLearning
  8. Simple Feed Forward Neural Network for Binary Classification
    This workflow has been developed for the "friendly introduction to deep learning" webinar…
    kathrin > Friendly introduction to codeless deep learning > Simple_neural_network_for_binary_classification
  9. Simple Example for Multiclass Classification with Keras
    Perceptron Neural networks Deep learning
    This workflow trains a fully connected feedforward neural network with 4-8-3 units per la…
    emilio_s > Public Exercises > DL Italia > Lesson 4 > 2) Basic_Example_Iris_Dataset
  10. Simple Feed Forward Neural Network for Binary Classification
    This workflow has been developed for the "friendly introduction to deep learning" webinar…
    aziz > Public > Simple_neural_network_for_binary_classification