Transfer learning for CNN Predictor for cats and dogs images - Deep Learning (freeze layer)

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Classifying Images of Cats and Dog with Transfer Learning - Training

This workflow reads images of cats and dogs, performs some simple preprocessing, and uses Transfer Learning (VGG16) to train the 3 top layers and evaluate a Convolutional Neural Network (CNN) that is able to distinguish cat images from dog images.

URL: Dataset Kaggle https://www.kaggle.com/c/dogs-vs-cats/data

Nodes

• Rule Engine3 ×
• Keras Dense Layer2 ×
• Column Filter1 ×
• Conda Environment Propagation1 ×
• DL Python Network Creator1 ×
• Show all 20 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Conda Integration
• FeatureKNIME Deep Learning - Keras Integration
• FeatureKNIME Image Processing
• FeatureKNIME Javasnippet

Links

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