本课程向您介绍 Transformer 架构和 Bidirectional Encoder Representations from Transformers (BERT) 模型。您将了解 Transformer 架构的主要组成部分，例如自注意力机制，以及该架构如何用于构建 BERT 模型。您还将了解可以使用 BERT 的不同任务，例如文本分类、问答和自然语言推理。完成本课程估计需要大约 45 分钟。
Transformer Models and BERT Model - 简体中文
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Gain insight into a topic and learn the fundamentals.
Advanced level
Designed for those already in the industry
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
了解 Transformer 架构的主要组成部分
了解如何使用 Transformers 构建 BERT 模型
使用 BERT 解决不同的自然语言处理 (NLP) 任务
Skills you'll gain
Details to know
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Assessments
1 assignment
Taught in Chinese (Simplified)
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There is 1 module in this course
在本单元中，您将了解 Transformer 架构的主要组成部分，例如自注意力机制，以及该架构如何用于构建 BERT 模型。您还将了解可以使用 BERT 的不同任务，例如文本分类、问答和自然语言推理。
What's included
2 videos1 reading1 assignment
Instructor
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