,

Je-Jun Lee1,2, Hojin Choi1, Ju-Hee Lee1

  • 1Department of Electrical and Computer Engineering, Sungkyunkwan University (SKKU), Suwon, 16419, Republic of Korea.

概括

研究人员为人工突触开发了一种容错的学习算法,以提高深度学习的效率. 这项创新降低了能源消耗,并提高了带有噪音标签的数据集的识别准确性,最大限度地减少了数据准备需求.

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