Transformer课程 Transformer自模型BERT Fine-tuning

段智华发布时间：2021-11-25 18:58:24 ，浏览量：0

Transformer自模型BERT Fine-tuning

从传统机器学习和Transfer Learning的区别出发，剖析BERT Fine-tuning底层原理，包括对最大后验概率MAP的剖析、Prior先验领域知识的数学原理、工程实践，尤其是结合BERT架构及其训练任务MLM以及NSP来解密，BERT针对具体下游任务微调的力量之源

Transformer自编码模型BERT微调Fine-tuning课程片段1：BERT Fine-tuning背后的数学原理详解

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Transformer课程 Transformer自模型BERT Fine-tuning

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