Ensemble deep learning: A review

Ensemble deep learning: A review
arXiv paper abstract https://arxiv.org/abs/2104.02395
arXiv PDF paper https://arxiv.org/pdf/2104.02395.pdf

Deep ensemble learning models combine the advantages of both the deep learning models as well as the ensemble learning such that the final model has better generalization performance.

This paper reviews the state-of-art deep ensemble models and hence serves as an extensive summary for the researchers.

Application of deep ensemble models in different domains is also briefly discussed. Finally, we conclude this paper with some future recommendations and research directions.

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I apply innovative technologies like machine learning, computer vision, and physics to further an organization's goals. Am recognized innovator with 66 patents.