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Neural networks
Deep learning GLOVE Image analysis Image captioning Image processing Transfer learning Word embedding Deeplearning Machine learning
  1. Workflow
    Predictive Analytics for US Flights
    Neural Networks MLP PNN
    The Workflow contains the comparison of two (MLP & PNN)neural network models for the prediction of an Aircraft delay
    denis_dautllari > Public > Predictive Analytics US Flights
    1
    denis_dautllari
  2. Workflow
    Simple Example for Binary Classification with Keras
    Neural networks Deep learning Codeless Deep Learning with KNIME
    This workflow trains a fully connected, feedforward network using the adult dataset.
    kathrin > Codeless Deep Learning with KNIME > Chapter 4 > Basic_Example_Adult_Dataset
    1
    kathrin
  3. Workflow
    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 layers to classify iris flowers.
    kathrin > Codeless Deep Learning with KNIME > Chapter 4 > Basic_Example_Iris_Dataset
    1
    kathrin
  4. Workflow
    [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. Two models …
    scientificstrategy > Public > KNIME Nodes > KN-301 Simple Demand Forecasting Neural Networks v05
    1
    scientificstrategy
  5. 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
    knime
  6. Workflow
    01_caption_preprocessing
    Image processing Image analysis Image captioning
    +5
    In this workflow we use simple textprocessing techniques to reduce the complexity of the captions used for training. This will li…
    bwilhelm > Public > I2K_2022_Workshop_DL_with_KNIME > ImageCaptioning > 01_caption_preprocessing
    0
    bwilhelm
  7. Workflow
    01_caption_preprocessing
    Image processing Image analysis Image captioning
    +5
    In the last workflow of this series, we predict the captions of the images in our test sample. This can be done using a similar i…
    bwilhelm > Public > I2K_2022_Workshop_DL_with_KNIME > ImageCaptioning > 05_inference
    0
    bwilhelm
  8. Workflow
    Making the Pass, Part 2 - Model Analysis
    Machine Learning Keras Neural Networks
    +2
    Analyzing the performance of neural network built via Keras.
    pwisneskey > Public > Making the Pass, Part 2 - Model Analysis
    0
    pwisneskey
  9. Workflow
    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 multilayer Perceptron with 4-8-3 layers, using…
    knime > Education > Courses > L4-DL Introduction to Deep Learning > Session1 > Solutions > 01_Iris_Classification_ANN_Solution
    0
    knime
  10. Workflow
    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 layers to classify iris flowers.
    emilio_s > Public Exercises > DL Italia > Lesson 4 > 2) Basic_Example_Iris_Dataset
    0
    emilio_s
  11. Workflow
    01_caption_preprocessing
    Image processing Image analysis Image captioning
    +5
    In this workflow we look-up a GLOVE embedding vector (https://nlp.stanford.edu/projects/glove/) for each word in our caption voca…
    bwilhelm > Public > I2K_2022_Workshop_DL_with_KNIME > ImageCaptioning > 03_create_glove_vector_dictionary
    0
    bwilhelm
  12. Workflow
    Making the Pass, Part 2 - Training
    Machine Learning Keras Neural Networks
    +3
    Training a neural network using Keras. Warning: execution may take several hours.
    pwisneskey > Public > Making the Pass, Part 2 - Training
    0
    pwisneskey
  13. Workflow
    01_caption_preprocessing
    Image processing Image analysis Image captioning
    +5
    In this workflow we look-up a GLOVE embedding vector (https://nlp.stanford.edu/projects/glove/) for each word in our caption voca…
    davek > Public > DL_Workshop_ImgAna_2020 > ImageCaptioning > 03_create_glove_vector_dictionary
    0
    davek
  14. Workflow
    01_caption_preprocessing
    Image processing Image analysis Image captioning
    +5
    After we cleaned the training captions and pre-calculated image-/word- features, the caption network can be trained. In this exam…
    bwilhelm > Public > I2K_2022_Workshop_DL_with_KNIME > ImageCaptioning > 04_train_model
    0
    bwilhelm
  15. Workflow
    01_caption_preprocessing
    Image processing Image analysis Image captioning
    +5
    In this workflow we use simple textprocessing techniques to reduce the complexity of the captions used for training. This will li…
    davek > Public > DL_Workshop_ImgAna_2020 > ImageCaptioning > 01_caption_preprocessing
    0
    davek
  16. Workflow
    01_caption_preprocessing
    Image processing Image analysis Image captioning
    +5
    In this workflow we create image feature vectors for each image in the training data using a pretrained InceptionV3 (https://arxi…
    davek > Public > DL_Workshop_ImgAna_2020 > ImageCaptioning > 02_calculate_InceptionV3_features
    0
    davek
  17. Workflow
    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 multilayer Perceptron with 4-8-3 layers, using…
    knime > Education > Courses > L4-DL Introduction to Deep Learning > Session1 > Exercises > 01_Iris_Classification_ANN
    0
    knime
  18. 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
    knime
  19. 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
    knime
  20. Workflow
    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, to classify the Iris dataset.
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter9 > 02_NeuralNetwork_DeepLearning
    0
    knime