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
- No links available