本課程旨在說明 AI 的可解釋性和透明度概念、探討 AI 透明度對開發人員和工程師的重要性。課程中也會介紹實務方法和工具，有助於讓資料和 AI 模型透明且可解釋。
Responsible AI for Developers: Interpretability & Transparency - 繁體中文
Responsible AI for Developers: Interpretability & Transparency - 繁體中文
Instructor: Google Cloud Training
Sponsored by Coursera Learning Team
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
定義 AI 的可解釋性和透明度
說明 AI 可解釋性和透明度的重要性
瞭解各項實用工具與技術，打造兼顧可解釋性和透明度的 AI
Details to know
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Assessments
1 assignment
Taught in Chinese (Traditional)
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There are 4 modules in this course
本單元介紹課程架構和目標。
What's included
1 video
本單元著重介紹 AI 的可解釋性和透明度，並提供多種技術與工具，有助於讓資料和 AI 模型透明且可解釋。
What's included
9 videos1 assignment1 app item
本單元介紹最重要的概念、工具和技術，概略說明整個課程內容。
What's included
1 video1 reading
連結至所有單元的學員用 PDF
What's included
3 readings
Instructor
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