Mixing Deep Learning with XGBoost

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.

External resources

• Link to data
• Link to pretrained network