This workflow shows how to train an XGBoost based image classifier that uses a pretrained convolutional neural network to extract features from images. It also contains shows how the extracted features can be used to visualize an image dataset with t-SNE.
Used extensions & nodes
Created with KNIME Analytics Platform version 4.4.2
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