OpenCourser brand icon
Sign in
We may earn an affiliate commission when you visit our partners.
Course image
Course image
Coursera logo

Create Image Captioning Models - 繁體中文

Google Cloud Training

本課程說明如何使用深度學習來建立圖像說明生成模型。您將學習圖像說明生成模型的各個不同組成部分，例如編碼器和解碼器，以及如何訓練和評估模型。在本課程結束時，您將能建立自己的圖像說明生成模型，並使用模型產生圖像說明文字。

Enroll now

Two deals to help you save

Save money when you learn. Here are two deals and offers that may be relevant to this course.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Valid until December 2
Annual Subscription
Invest in your career growth and save. Start your annual subscription to Coursera Plus and access 10,000+ programs.
Take
40%
off
Get offer
Valid until March 12, 2027
Save 40% Off 3 Months
Access thousands of top-rated learning programs with a Coursera Plus monthly subscription and take 40% off 3 months for a limited time.
Take
40%
off
Get offer

What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Industry-standard components bolster career prospects
Trains learners in building image caption generation models, providing in-demand professional development
Builds a solid foundation in image caption generation models for beginners or those seeking to strengthen their skills

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

建立圖像說明模型的實用指南

學生說，本課程是學習圖像說明生成模型的實用入門好選擇。講師對編碼器和解碼器等核心概念的講解清晰且深入淺出，使複雜內容易於理解。多位學習者讚賞其動手實作環節，認為這有助於鞏固知識並成功建立模型。然而，部分評論指出，對於沒有深度學習基礎的學習者來說，課程可能具有挑戰性，建議先行準備。此外，有學習者提到部分函式庫可能過時，需要手動調整，以及進階優化和除錯技巧的覆蓋不夠深入。儘管存在這些不足，整體而言課程評價正面，為有相關背景的學習者提供了紮實的實作基礎。
課程對理論概念講解透徹，並提供實用操作。
"這個課程深入淺出地解釋了圖像字幕模型的原理和實作細節，特別是編碼器和解碼器的部分講得很清楚。"
"講師的講解非常清晰，程式碼範例也很容易理解。我成功地建立了自己的圖像說明模型，感覺學到了很多。"
"這門課真的是入門圖像說明模型的好選擇。從理論到實作，一步步帶領我完成專案。老師的教學耐心且細緻。"
部分函式庫版本可能過時，影響實作流暢度。
"內容有點過時，某些函式庫的版本已經更新，導致我在實作時遇到了一些問題。"
"雖然最終都解決了，但過程不夠流暢。希望課程能保持更新。"
"在跟隨課程實作時，我發現部分程式碼範例使用的函式庫版本較舊，需要手動更新以避免錯誤。"
課程在模型優化與實務除錯方面略顯不足。
"唯一的缺點是，如果能有更多關於模型優化的進階內容就更好了。"
"課程提供了基礎的知識，但感覺有些部分講得不夠深入，尤其是在遇到實際問題時，解錯的技巧提及不多。"
"我希望課程能進一步深入探討模型調優、性能評估的進階策略，以及在實際應用中可能遇到的挑戰。"
課程內容對深度學習新手有一定門檻。
"對我來說太難了，我沒有足夠的先備知識，課程中很多術語都聽不懂。建議課程簡介中要更明確地指出先備知識要求。"
"課程內容充實，但對於完全沒有深度學習基礎的人來說可能會有些吃力。我建議先有一些Python和機器學習的基礎再學習。"
"如果你對深度學習或機器學習沒有基本概念，可能會發現課程進度有點快，需要花額外時間補充相關知識。"

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 Create Image Captioning Models - 繁體中文 with these activities:
探索PyTorch的图像说明生成教程
通过PyTorch的图像说明生成教程，您将熟悉深度学习框架并了解如何将其应用于此任务。
Browse courses on PyTorch
Show steps
  • 安装PyTorch并配置开发环境
  • 了解PyTorch的基本概念，例如张量和自动微分
  • 学习构建图像编码器和解码器的模型架构
  • 训练模型并监控其性能
  • 使用预训练的模型生成图像说明文字
指导初学者学习图像说明生成
通过指导他人，您将加强您对图像说明生成概念的理解并帮助他人学习。
Show steps
  • 与初学者建立联系并评估他们的需求
  • 提供定制指导和支持
  • 跟踪初学者的进展并提供持续反馈
实践图像说明生成
通过练习图像说明生成，您将巩固对图像编码器和解码器的理解，以及如何使用深度学习生成图像说明文字。
Show steps
  • 收集一组图像和相应的说明文字数据
  • 使用图像编码器和解码器构建深度学习模型
  • 训练模型并监控性能
  • 使用训练好的模型生成新图像的说明文字
  • 评估生成图像说明文字的质量
Two other activities
Expand to see all activities and additional details
Show all five activities
撰写图像说明生成技术综述
通过撰写综述，您将深入了解图像说明生成的不同技术并展示您的研究能力。
Show steps
  • 调查图像说明生成模型的最新进展
  • 分析不同技术的方法和性能
  • 撰写一篇综述文章，总结您的发现
  • 提交您的综述以供同行评审
创建图像说明生成项目
通过创建自己的图像说明生成项目，您将展示对图像说明生成模型的理解以及实际应用它的能力。
Show steps
  • 定义项目范围和目标
  • 收集和准备图像和说明文字数据集
  • 设计和训练图像说明生成模型
  • 创建用户界面以部署模型
  • 评估项目的性能和用户体验

Career center

Learners who complete Create Image Captioning Models - 繁體中文 will develop knowledge and skills that may be useful to these careers:
Computer Vision Engineer
Computer Vision Engineers specialize in developing and applying computer vision algorithms to solve real-world problems. In various industries, they leverage image captioning models to enhance user experiences, improve safety, and drive innovation. Enrolling in this course will equip you with the expertise to create image captioning models effectively, empowering you to thrive in this rapidly growing field.
See salaries and explore the career path for Computer Vision Engineer
AI Researcher
AI Researchers explore the theoretical foundations and practical applications of artificial intelligence (AI). Image captioning is a challenging AI task that requires expertise in computer vision, natural language processing, and machine learning. By taking this course, you'll gain insights into the latest image captioning research and develop the skills to contribute to the advancement of AI technology.
See salaries and explore the career path for AI Researcher
NLP Engineer
NLP Engineers specialize in developing and applying natural language processing (NLP) techniques to solve real-world problems. Image captioning models combine NLP with computer vision to extract insights from images and generate meaningful textual descriptions. This course will provide you with a solid understanding of the NLP techniques used in image captioning, enabling you to develop innovative solutions and advance your career as an NLP Engineer.
See salaries and explore the career path for NLP Engineer
Machine Learning Engineer
Machine Learning Engineers focus on developing, deploying, and maintaining machine learning models for solving complex business problems. Image captioning is a common task in computer vision, and this course will provide you with a deep understanding of the techniques and algorithms involved in building image captioning models. The course will cover essential concepts such as feature extraction, image segmentation, and natural language processing. Mastering these techniques will allow you to create effective image captioning models and advance your career as a Machine Learning Engineer.
See salaries and explore the career path for Machine Learning Engineer
Data Scientist
Data Scientists leverage machine learning, statistics, and data analysis techniques to extract insights and make predictions. Image captioning models are valuable tools for Data Scientists, enabling them to perform image recognition, object detection, and other visual data analysis tasks. This course will provide you with the foundational knowledge to build and evaluate image captioning models, enhancing your capabilities as a Data Scientist and broadening your career prospects.
See salaries and explore the career path for Data Scientist
Software Engineer
Software Engineers apply their expertise in computer science to design, develop, and maintain software systems. Image captioning is a vital aspect of computer vision, and this course will equip you with the skills to incorporate image captioning functionality into your software applications. By mastering the techniques taught in this course, you'll enhance your capabilities as a Software Engineer and expand your career opportunities.
See salaries and explore the career path for Software Engineer
Data Analyst
Data Analysts provide data-driven insights to help businesses understand customer behavior, identify trends, and achieve their goals. They typically work with large datasets and perform Exploratory Data Analysis (EDA), utilizing machine learning techniques like image captioning to extract valuable insights. By taking this course, you'll gain the tools and knowledge to create image captioning models, a critical skill for Data Analysts in various industries. The model building and evaluation techniques taught in the course will empower you to interpret visual data effectively and contribute to data-driven decision-making.
See salaries and explore the career path for Data Analyst
Robotics Engineer
Robotics Engineers design, build, and maintain robots for various applications. Image captioning is a valuable tool for enabling robots to interpret their surroundings and interact with humans effectively. This course will provide you with the foundation to develop image captioning systems for robots, improving their autonomy and functionality.
See salaries and explore the career path for Robotics Engineer
UX Designer
UX Designers focus on enhancing the user experience of products and services. Image captioning can significantly improve accessibility and usability for visually impaired users or in situations where visual content lacks context. This course will provide you with the essential knowledge to design and evaluate image captioning systems, enabling you to create inclusive and user-centric experiences.
See salaries and explore the career path for UX Designer
Technical Writer
Technical Writers create user manuals, documentation, and other materials to explain technical concepts. Image captioning can enhance the clarity and effectiveness of technical documentation, particularly for complex visual systems or processes. This course will equip you with the skills to incorporate image captioning into your writing, enabling you to create user-friendly and informative materials.
See salaries and explore the career path for Technical Writer
Business Analyst
Business Analysts gather and analyze business requirements to improve processes and systems. Image captioning technology can provide valuable insights into customer behavior and market trends. By taking this course, you'll gain the skills to leverage image captioning to extract actionable insights, driving data-driven decision-making and enhancing business outcomes.
See salaries and explore the career path for Business Analyst
Marketing Specialist
Marketing Specialists develop and execute marketing campaigns to promote products or services. Image captioning can enhance the impact of marketing materials by providing additional information, creating emotional connections, and boosting engagement. This course will equip you with the knowledge to leverage image captioning in your marketing campaigns, enabling you to create compelling content that resonates with your target audience and drives conversions.
See salaries and explore the career path for Marketing Specialist
Content Creator
Content Creators produce written, visual, or audio content for various platforms. Image captioning can add value to your content by providing additional context, improving accessibility, and enhancing engagement. This course will teach you the techniques to create compelling image captions that capture the essence of your visual content and resonate with your audience.
See salaries and explore the career path for Content Creator
Product Manager
Product Managers lead the development and launch of new products and features. Image captioning technology can create value for users by enhancing accessibility, improving search functionality, and providing visual context. This course will equip you with the knowledge to assess image captioning solutions and integrate them into your products, empowering you to drive innovation and meet customer needs.
See salaries and explore the career path for Product Manager
Social Media Manager
Social Media Managers plan, execute, and analyze social media strategies to engage with audiences and achieve business goals. Image captioning can be a powerful tool for increasing engagement, conveying brand messages, and driving traffic. By taking this course, you'll learn how to create effective image captions that align with your social media strategy and captivate your target audience.
See salaries and explore the career path for Social Media Manager

Reading list

We've selected eight 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 Create Image Captioning Models - 繁體中文.
Cover image
The Elements of Statistical Learning
Save
這本書提供了統計學習的全面介紹，包括用於圖像標題生成的機器學習技術。對於想要深入了解圖像標題生成背後的數學基礎的學習者來說，這本書很有用。
(English) The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
(English) The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
(English) The Elements of Statistical Learning: Data Mining,...
Kindle Edition
$$$
Cover image
Dive into Deep Learning
Save
這本書提供了深度學習的全面介紹，包括用於圖像標題生成的編碼器-解碼器模型。對於想要加強其深度學習基礎的學習者來說，這本書很有用。
(English) Dive into Deep Learning
Paperback
$$
Cover image
Concurrent NumPy in Python
Save
這本書專門介紹用於計算機視覺任務的深度學習，包括圖像標題生成。對於想要更深入地了解如何使用深度學習來生成圖像標題的學習者來說，這本書非常有用。
(English) Concurrent NumPy in Python: Faster NumPy With BLAS,...
Paperback
$$
(English) Concurrent NumPy in Python: Faster NumPy With BLAS,...
Kindle Edition
$$
Cover image
Deep Learning for Coders with fastai and PyTorch
Save
這本書提供了使用 Fastai 和 PyTorch 進行深度學習的實作指南。對於想要使用這些框架來建立圖像標題生成模型的學習者來說，這本書很有用。
(English) Deep Learning for Coders with Fastai and PyTorch:...
Paperback
$$
(English) Deep Learning for Coders with fastai and PyTorch:...
Kindle Edition
$$
Cover image
Grokking Deep Learning
Save
這本書提供了一份關於深度學習在自然語言處理相關任務的全面介紹，包括圖像說明。它涵蓋了編碼器和解碼器的基礎知識，以及訓練和評估圖像說明模型的技術。
(English) Grokking Deep Learning
Kindle Edition
$$
Cover image
Natural Language Processing with Python
Save
這本書提供了自然語言處理的實作指南，涵蓋了圖像說明中使用的技術，如詞彙處理和機器翻譯。
(English) Natural Language Processing with Python: Analyzing...
Paperback
$$$
(English) Natural Language Processing with Python: Analyzing...
Kindle Edition
$$
Cover image
Deep Learning
Save
這本書提供了對生成對抗網路的全面介紹，這是圖像說明模型中越來越流行的一種技術。它涵蓋了 GAN 的基礎知識，以及如何將它們用於圖像生成任務。
(English) Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
(English) Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Cover image
Hands-On Machine Learning with Scikit-Learn, Keras,...
Save
這本書提供了一個 TensorFlow 的全面指南，TensorFlow 是圖像說明模型中最流行的深度學習框架之一。它涵蓋了 TensorFlow 的基礎知識，以及如何將其用於圖像識別和生成任務。
(English) Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$
(English) Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$$
(English) Hands-On Machine Learning with Scikit-Learn, Keras,...
Kindle Edition
$$

Share

Help others find this course page by sharing it with your friends and followers:
Facebook
LinkedIn
Reddit
X
Link
Email

Similar courses

Here are nine courses similar to Create Image Captioning Models - 繁體中文.
Machine Learning Foundations for Product Managers
Most relevant
Attention Mechanism - Español
Most relevant
Create Image Captioning Models - Bahasa Indonesia
Most relevant
Advanced Deployment Scenarios with TensorFlow
Most relevant
Attention Mechanism - Português Brasileiro
Most relevant
Applied Natural Language Processing in Engineering Part 2
Most relevant
Pretraining LLMs
Most relevant
TensorFlow for Deep Learning Bootcamp
Most relevant
Create Image Captioning Models
Most relevant

Coursera Buyer Protection & Guarantee

Verified partner policies & purchase protections

Accredited University Partner
Free Trial & Audit

7-Day Free Trial & Free Audit

7-day free trial on monthly Coursera Plus subscriptions; free audit option available on most individual courses to explore video lectures and readings at no charge.

Return & Refund Policy

14-Day Refund Guarantee

14-day refund window on annual Coursera Plus subscriptions and single-course purchases prior to certificate issuance. Monthly subscriptions do not offer refunds once billed.

Buyer Protections

Verified Academic & Industry Partner

Accredited university and industry certifications (e.g. Stanford, Google, IBM, Yale), secure SSL payment processing, and verifiable digital certificate links.

Key Purchase Protections
14-day refund window on annual Coursera Plus and single courses
7-day free trial on monthly Coursera Plus subscriptions
Free course audit option for lectures and readings
Verified certificates from top universities & companies
OpenCourser Verified Partner Policy details last reviewed: 2026-10-22
Course image
Level
Advanced
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
中文
Transcript
Español
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Industry-standard components bolster career prospects
Trains learners in building image caption generation models, providing in-demand professional development
Builds a solid foundation in image caption generation models for beginners or those seeking to strengthen their skills
Share this
Share to help others discover this course.
Facebook LinkedIn X Reddit Link Email
Begin learning today
Enroll now to gain full access to Create Image Captioning Models - 繁體中文.
Enroll now
Save for later
Add this course to your list. Find it anytime.
Save
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser