이 과정에서는 AI 해석 가능성과 투명성의 개념을 소개합니다. 개발자와 엔지니어에게 AI 투명성이 얼마나 중요한지를 설명합니다. 데이터와 AI 모델 모두에서 해석 가능성과 투명성을 구현하는 데 도움이 되는 실용적인 방법과 도구를 살펴봅니다.
Responsible AI for Developers: Interpretability & Transparency - Español
Responsible AI for Developers: Interpretability & Transparency - Español
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
Definir la interpretabilidad y la transparencia en relación con la IA
Describir la importancia de la interpretabilidad y la transparencia en la IA
Explorar las herramientas y técnicas que se utilizan para lograr interpretabilidad y transparencia en la IA
Details to know
Shareable certificate
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Assessments
1 assignment
Taught in Spanish
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There are 4 modules in this course
En este módulo, se presenta la estructura del cursos y sus objetivos.
What's included
1 video
En este módulo, nos centramos en la interpretabilidad y transparencia de la IA. Se proporcionan varias técnicas y herramientas para ayudar a lograr la interpretabilidad y transparencia en los modelos de IA y datos.
What's included
9 videos1 assignment1 app item
En este módulo, se proporciona un resumen de todo el curso que cubre los conceptos, las herramientas y las tecnologías más importantes.
What's included
1 video1 reading
Vínculos a archivos PDF de todos los módulos para estudiantes
What's included
3 readings
Instructor
Offered by
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