使

Raphael Ngigi Wanjiku1, Lawrence Nderu2, Michael Kimwele2

  • 1Nexford University, Washington DC, United States.

PeerJ. Computer science
|October 9, 2023
PubMed
概括

这项研究通过根据纹理特征和重量选择相关的数据点和模型层来改善转移学习. 这种方法提高了模型的准确性,并减少了在微调预训练模型中的试错.

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