Transformer Models and BERT Model - 简体中文 from Coursera

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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

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Transformer Models and BERT Model - 简体中文 with these activities:

Seek mentorship from NLP experts

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Connecting with NLP experts can provide valuable guidance and support for your learning journey.

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Identify potential mentors in the NLP field.
Reach out to them and express your interest in mentorship.
Attend meetings or discussions with your mentor.

Create a summary of course materials

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Reinforce your understanding by summarizing key concepts and ideas from the course materials.

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Review the lecture notes, readings, and other course materials.
Identify the main points and summarize them in your own words.
Organize your summary into a logical structure.

总结笔记和复习材料

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通过整理笔记和复习材料，加强对课程内容的理解和记忆。

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整理讲座笔记和学习材料
识别关键概念和要点
创建综合性复习材料

Seven other activities

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Review natural language processing (NLP) concepts

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Refresh your understanding of NLP concepts to enhance your comprehension of Transformer and BERT models.

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Go through your previous NLP course materials.
Read articles or watch videos on NLP topics.

Review Transformer architecture tutorials

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Help you understand the fundamental concepts of Transformer and BERT models.

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Find online tutorials on Transformer architecture.
Watch the tutorials and take notes on the key concepts.
Practice implementing a simple Transformer model using a programming language.

讨论 BERT 模型在自然语言处理中的应用

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通过与同学讨论，开阔视野，了解 BERT 模型在自然语言处理领域的广泛应用。

Browse courses on BERT

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收集 BERT 模型在自然语言处理中的应用实例
与同学分享并讨论发现

Complete BERT model training exercises

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Provide you with hands-on experience in training and evaluating BERT models.

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Download a pre-trained BERT model.
Fine-tune the model on a specific task, such as text classification or question answering.
Evaluate the performance of the fine-tuned model.

练习使用 BERT 进行文本分类

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通过实践提高使用 BERT 进行文本分类的技能，巩固对 BERT 模型的理解。

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收集文本分类数据集
选择并使用合适的 BERT 模型
训练和评估 BERT 模型

构建 BERT 模型并应用于文本分类任务

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通过实际动手构建可用于文本分类的 BERT 模型，掌握 BERT 模型的应用实践，巩固学习成果。

Browse courses on BERT

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收集和预处理文本分类数据集
选择并加载合适的 BERT 模型
微调 BERT 模型
评估模型在文本分类任务上的性能

Contribute to open-source NLP projects

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Practical experience through open-source contributions can deepen your understanding of BERT models and NLP.

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Find open-source NLP projects on platforms like GitHub.
Identify areas where you can contribute your skills.
Submit pull requests or participate in discussions.

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.

See salaries and explore the career path for 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.

See salaries and explore the career path for Natural Language Processing 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.

See salaries and explore the career path for Machine Learning Engineer

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.

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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.

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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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Information Architect

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.

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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.

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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.

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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.

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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.

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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.

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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.

See salaries and explore the career path for User Experience Designer

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.

See salaries and explore the career path for Product Manager

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.