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Deeplearning
Machine learning Classification Neural networks Doc2vec Embeddings
+4
  1. Workflow
    How to use the Learner View
    Deeplearning Machine learning Neural networks
    +1
    This workflow shows an example of the View of the DL4J Feedforward Leaner nodes.
    knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J > 02_Basic_Learner_View_Tutorial
    1
  2. Workflow
    Housing Value Prediction using Regression
    Deeplearning Machine learning Regression
    +1
    This workflow shows how to use an MLP to predict a target value of a small real world example dataset. Dataset and description av…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J > 11_Housing_Value_Prediction_Using_Regression
    1
  3. Workflow
    Simple Document Classification using Word Vectors
    Deeplearning Machine learning Word2vec
    +4
    This example shows how to transform a document into a vector using a word vector model and using these vectors for classification…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J > 07_Simple_Document_Classification_Using_Word_Vectors
    1
  4. Workflow
    Clone adult dataset
    Deeplearning GAN technology Data clones
    +1
    This workflow uses 'auto synthetic data generator' to generate synthetic data for 'adult' dataset. The performance of data genera…
    ashokharnal > Collection of Components and Workflows > data_manipulation > Clone adult dataset
    0
  5. Workflow
    Calculate Document Distance using Word Vectors
    Deeplearning Machine learning Word2vec
    +3
    First, we read in a dataset containing sentences and assign each document a unique label. The unique label is used to create a do…
    polathdr > Public > 06_Calculate_Document_Distance_Using_Word_Vectors
    0
  6. Workflow
    Sentiment Classification using Word Vectors
    Deeplearning Machine learning Word2vec
    +5
    This example shows how to perform sentiment classification using word vectors. In this example, we use IMDb reviews which have ei…
    faryal > Public > 08_Sentiment_Classification_Using_Word_Vectors
    0
  7. Workflow
    Sentiment Classification using Word Vectors
    Deeplearning Machine learning Word2vec
    +5
    This example shows how to perform sentiment classification using word vectors. In this example, we use IMDb reviews which have ei…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J > 08_Sentiment_Classification_Using_Word_Vectors
    0
  8. Workflow
    Simple Anomaly Detection Using a Convolutional Network
    Deeplearning Machine learning Anomaly detection
    +2
    This workflow shows how to do anomaly detection of the MNIST dataset using a convolutional network. Workflow Requirements KNIME A…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J > 09_Simple_Anomaly_Detection_Using_A_Convolutional_Net
    0
  9. Workflow
    Font Detection Using A Convolutional Net
    Deeplearning Machine learning Classification
    +2
    This workflow shows an example of how to detect the fonts of letters using a convolutional network. Credits to: Kevin Mader, 4Qua…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J > 12_Font_Detection_Using_A_Convolutional_Net
    0
  10. Workflow
    Celebrity Recognition Using AlexNet
    Deeplearning Machine learning Classification
    +3
    This workflow shows an example of image classification of celebrity faces using AlexNet. Note: Due to the size of the network, th…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J > 13_Celebrity_Detection_Using_Alex_Net
    0
  11. Workflow
    Basic Concepts of Deeplearning4J Integration
    Deeplearning Machine learning Neural networks
    This workflow shows basic concepts of the KNIME Deeplearning4J Integration.
    knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J > 01_Basic_Concepts_Of_Deeplearning4J_Integration
    0
  12. Workflow
    Calculate Document Distance using Word Vectors
    Deeplearning Machine learning Word2vec
    +3
    First, we read in a dataset containing sentences and assign each document a unique label. The unique label is used to create a do…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J > 06_Calculate_Document_Distance_Using_Word_Vectors
    0
  13. Workflow
    Example of a simple Multi Layer Perceptron trained on Images
    Deeplearning Machine learning Classification
    +3
    This workflow shows how to create an MLP with a softmax layer for image classification. Workflow Requirements KNIME Analytics Pla…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J > 04_Network_Example_Of_A_MLP_For_Images
    0
  14. Workflow
    Example of a simple Convolutional Network
    Deeplearning Machine learning Classification
    +2
    This workflow shows how to create a simple convolutional network and use it for image classification.
    knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J > 05_Network_Example_Of_A_Simple_Convolutional_Net
    0
  15. Workflow
    Example of a simple Multi Layer Perceptron
    Deeplearning Machine learning Classification
    +3
    This workflow shows how to create an MLP with a softmax layer for classification.
    knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J > 03_Network_Example_Of_A_Simple_MLP
    0
  16. Workflow
    Simple Regression of Simple Functions
    Deeplearning Machine learning Regression
    +1
    This workflow shows how to use an MLP for regression of simple functions. Workflow Requirements KNIME Analytics Platform 3.4.0 KN…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J > 10_Simple_Regression_Of_Simple_Functions
    0