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Transformer Models and BERT Model - 简体中文

Google Cloud Training

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。

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What's inside

Syllabus

Transformer 模型和 BERT 模型:概览
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。

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Examines Transformer models and BERT, and their uses in text classification, Q&A, and natural language inference, which are central to NLP

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Activities

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Career center

Learners who complete Transformer Models and BERT Model - 简体中文 will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists analyze data to create algorithms that machine learning depends on. A background in Transformer and BERT would be a perfect fit for this world. Transformer Models are used for generating images, doing language translation, and building chatbots. This course would give a boost to someone looking to become a Data Scientist.
Natural Language Processing Engineer
NLP Engineers design algorithms that help computers understand and extract meaning from human language. This course covers the Bidirectional Encoder Representations from Transformers (BERT) model, a cornerstone in NLP engineering. This course would be helpful for someone who wants to work as an NLP Engineer.
Machine Learning Engineer
Machine Learning Engineers design, deploy, and maintain the models that do the machine learning. Transformer Models are crucial to ML. The BERT model is often used in the field. This course would be helpful for someone who wants to become an MLE.
Data Analyst
Data Analysts collect and interpret data in order to make recommendations for their organization. A background in Transformer would be helpful for a DA who works with NLP.
Research Scientist
Research Scientists design and conduct scientific experiments, then analyze results. The Transformer Architecture is at the heart of many scientific innovations. For anyone working on a team that uses Transformer, this course may be helpful.
Business Analyst
Business Analysts analyze and solve business problems. BAs who work with NLP may find this course helpful, because of its focus on BERT, a popular NLP model.
Information Architect
Information Architects design and maintain the structure and organization of websites and other digital information systems. IAs who work with NLP may find this course helpful. It covers the BERT model, which is a cornerstone of NLP.
Technical Writer
Technical Writers explain complex technical information to non-technical people. TWs who are writing about NLP may find this helpful. It covers the BERT model, which is a fundamental part of NLP.
Software Engineer
Software Engineers design, develop and maintain computer applications. Many SEs work with NLP. For an SE who wants to work with NLP, this course may be helpful.
Content Strategist
Content Strategists plan and oversee the creation and distribution of content. Some CSs work with NLP. This course may be helpful for such CSs.
Interaction Designer
Interaction Designers create the interactive elements of websites and apps. For IxD working on an NLP-driven product, this course may be helpful.
Data Engineer
Data Engineers build and maintain the systems that store and process data. Some DSEs specialize in NLP, so this course may be helpful for someone pursuing that.
Digital Marketing Manager
Digital Marketing Managers plan and execute marketing campaigns online. A background in NLP may be helpful for a DM who is working on campaigns in the NLP space.
User Experience Designer
User Experience Designers research and design website and app interfaces so that they are easy and enjoyable to use. If a UX Designer is working on an NLP product, this course may be helpful.
Product Manager
Product Managers lead teams that develop and maintain software products. PMs usually need a technical background in the product they are responsible for. If a PM is working with NLP, this course may be helpful.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Transformer Models and BERT Model - 简体中文.
这本书提供了自然语言处理中深度学习的综合介绍。它涵盖了各种模型和技术,包括 Transformer 模型。虽然这本书不专门针对 Transformer 模型,但它为读者提供了 NLP 中深度学习的基础知识,这对于理解 Transformer 模型至关重要。
这本书提供了机器学习中使用的数学基础的全面介绍。虽然这本书不专门针对 Transformer 模型,但它为读者提供了数学基础,这对于理解 Transformer 模型至关重要。
这本书提供了语音和语言处理的全面介绍。虽然这本书不专门针对 Transformer 模型,但它为读者提供了语音和语言处理的基础知识,这对于理解 Transformer 模型至关重要。
这本书提供了信息论、推理和学习算法的全面介绍。虽然这本书不专门针对 Transformer 模型,但它为读者提供了信息论和学习算法的基础知识,这对于理解 Transformer 模型至关重要。
这本书提供了凸优化的全面介绍。虽然这本书不专门针对 Transformer 模型,但它为读者提供了凸优化的基础知识,这对于理解 Transformer 模型至关重要。
这本书提供了深度学习的全面介绍。虽然这本书不专门针对 Transformer 模型,但它为读者提供了深度学习的基础知识,这对于理解 Transformer 模型至关重要。
这本书提供了机器学习的全面介绍。虽然这本书不专门针对 Transformer 模型,但它为读者提供了机器学习的基础知识,这对于理解 Transformer 模型至关重要。

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