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Neural Networks
Deep learning
GLOVE Image analysis Image captioning Image processing Transfer learning
+3
  1. Go to item
    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
  2. Go to item
    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
  3. Go to item
    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
  4. Go to item
    Workflow
    01_Training
    Neural networks Deep learning
    In this exercise you will create a simple Feedforward Neural Network to predict the income class of a person in the adult dataset…
    emilio_s > Public Exercises > Firenze_Deep Learning > 02_FFNN > Solution > 01_Training_Solution
    0
  5. Go to item
    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
  6. Go to item
    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…
    bwilhelm > Public > I2K_2022_Workshop_DL_with_KNIME > ImageCaptioning > 02_calculate_InceptionV3_features
    0
  7. Go to item
    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
  8. Go to item
    Workflow
    01_Training
    Neural networks Deep learning GIDS
    +4
    In this exercise you will create a simple Feedforward Neural Network to predict the income class of a person in the adult dataset…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter9_Neural_Networks > Exercise > 01_Training
    0
  9. Go to item
    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
  10. Go to item
    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
  11. Go to item
    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…
    davek > Public > DL_Workshop_ImgAna_2020 > ImageCaptioning > 05_inference
    0
  12. Go to item
    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
  13. Go to item
    Workflow
    01_Training
    Neural networks Deep learning
    In this exercise you will create a simple Feedforward Neural Network to predict the income class of a person in the adult dataset…
    emilio_s > Public Exercises > Firenze_Deep Learning > 02_FFNN > Exercise > 01_Training
    0
  14. Go to item
    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
  15. Go to item
    Workflow
    01_Training
    Neural networks Deep learning GIDS
    +4
    In this exercise you will create a simple Feedforward Neural Network to predict the income class of a person in the adult dataset…
    knime > Academic Alliance > Guide to Intelligent Data Science > Exercises > Chapter9_Neural_Networks > Solution > 01_Training_Solution
    0
  16. Go to item
    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
  17. Go to item
    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…
    davek > Public > DL_Workshop_ImgAna_2020 > ImageCaptioning > 04_train_model
    0
  18. Go to item
    Workflow
    a simple deep learning network for binary classification using the KNIME Keras integration (with a Python environment propagation)
    Neural networks Deep learning Codeless Deep Learning with KNIME
    +1
    a simple deep learning network for binary classification using the KNIME Keras integration (with a Python environment propagation…
    mlauber71 > Public > kn_example_deeplearning_keras_tensorflow_classification > kn_deeplearn_100_keras_basic
    0
  19. Go to item
    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
  20. Go to item
    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

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