Building CNN Predictor for cats and dogs images - Deep Learning

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Classifying Images of Cats and Dogs - Training

This workflow reads images of cats and dogs, performs some simple preprocessing, and trains and evaluates a Convolutional Neural Network (CNN) that is able to distinguish cat images from dog images.

Reference:
F. Villaroel Ordenes & R. Silipo, “Machine learning for marketing on the KNIME Hub: The development of a live repository for marketing applications”, Journal of Business Research 137(1):393-410, DOI: 10.1016/j.jbusres.2021.08.036.

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

Nodes

• Rule Engine3 ×
• Keras Convolution 2D Layer2 ×
• Keras Dense Layer2 ×
• Keras Max Pooling 2D Layer2 ×
• Column Filter1 ×
• Show all 21 nodes

Extensions

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

Links

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