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
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
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
Offered by
Recommended if you're interested in Cloud Computing
Google Cloud
Google Cloud
Coursera Instructor Network
National Taiwan University
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