Machine learningTraining paradigms
课程学习
课程学习是一种机器学习模型训练策略，由Bengio等人于2009年提出，其特点是将训练样本以有意义的顺序（通常是从易到难）呈现，而不是随机呈现。其灵感来源于人类和动物的渐进式学习过程，它将训练数据组织成一个课程，从简单、干净或更具代表性的样本开始，并随着模型的成熟逐渐引入更难或更复杂的样本。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Bengio, Y., Louradour, J., Collobert, R., & Weston, J. (2009). Curriculum learning. International Conference on Machine Learning (ICML), 41–48. DOI: 10.1145/1553374.1553380 ↗
如何引用本页
ScholarGate. (2026, June 2). Curriculum Learning. ScholarGate. https://scholargate.app/zh/deep-learning/curriculum-learning
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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