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- W3208985273 abstract "In this paper, we apply a mixture of experts approach to further enhance the accuracy of transfer learning networks on a fine-grained categorization problem, expanding on the work of Firsching and Hashem. Mixture of experts approaches may help to improve accuracy on categorization problems. Likewise, transfer learning is a highly effective technique for solving problems in machine learning of varying complexities. We here illustrate that mixtures of trained transfer learning networks, when applied properly, may further improve categorization accuracy." @default.
- W3208985273 created "2021-11-08" @default.
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- W3208985273 date "2021-11-04" @default.
- W3208985273 modified "2023-09-27" @default.
- W3208985273 title "Fine-Grained Categorization Using a Mixture of Transfer Learning Networks" @default.
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- W3208985273 doi "https://doi.org/10.1007/978-3-030-89880-9_11" @default.
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