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Neural networks
Deep learning Deeplearning Machine learning Classification Perceptron BackPropagation GLOVE Keras Education
  1. Workflow
    Train an FFNN for Classification
    Neural networks Deep learning Education
    +5
    This workflow shows how to train an FFNN for multionomial classification of the iris dataset.
    lada > Public > Examples > Train an FFNN for Classification
    0
    lada
  2. 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
    knime
  3. 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
    mlauber71
  4. 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
    knime
  5. 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
  6. 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
  7. 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
    knime
  8. 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
    knime
  9. 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
  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.
    kathrin > Codeless Deep Learning with KNIME > Chapter 4 > Basic_Example_Iris_Dataset
    1
    kathrin
  11. 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
    knime
  12. 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
  13. 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_Exercise
    0
    knime
  14. 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
  15. 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
    knime
  16. 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
    knime
  17. 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
    davek
  18. 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 > DL_Workshop > ImageCaptioning > 04_train_model
    0
    bwilhelm
  19. 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
  20. 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…
    ADILT22 > Course Material - Codefree Introduction to Data Science > VL9 - Neural Networks Shallow and Deep > Workflows > Iris_Classification_with_ANN
    0
    ADILT22