本课程介绍了 AI 可解释性和透明度的相关概念，探讨了 AI 透明度对于开发者和工程师的重要性。同时探索了有助于在数据和 AI 模型中实现可解释性和透明度的实用方法及工具。
Responsible AI for Developers: Interpretability & Transparency - 简体中文
Responsible AI for Developers: Interpretability & Transparency - 简体中文
Instructor: Google Cloud Training
Included with 
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
定义与 AI 相关的可解释性和透明度
说明可解释性和透明度在 AI 中的重要性
探索用于在 AI 中实现可解释性和透明度的相关工具和方法
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July 2024
Assessments
1 assignment
Taught in Chinese (Simplified)
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There are 4 modules in this course
本单元介绍课程结构和目标。
What's included
1 video
本单元着重介绍 AI 可解释性和透明度，还介绍了有助于在数据和 AI 模型中实现可解释性和透明度的各种方法和工具。
What's included
9 videos1 assignment1 app item
本单元对整个课程进行总结，回顾最重要的概念、工具和方法。
What's included
1 video1 reading
所有单元的学员 PDF 链接
What's included
3 readings
Instructor
Offered by
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.