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Deep learning works best on images, video, text, audio and reinforcement learning. Most common applications are outside these domains, based on diverse types of business/scientific data. But, as they said, you can compose CatBoost with TF and Keras neural nets. It connects like a NN module.


Do you have any examples of this or can point me in the right direction of how to implement it? Thanks!




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