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
Sponsored by BrightStar Care
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
Details to know
Shareable certificate
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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
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