How to Assess Robustness of Neural Networks Awareness

On-demand Training Course

How to Assess Robustness of Neural Networks Awareness

等級基礎認知期間 0.5 hour

可報名: 線上隨選課程 NT$2000 Book Now

BSI has developed a 30-minute course that explores the importance and impact of implementing robust deep learning systems. We deep dive into the core of the ISO/IEC 24029-1:2021 standard, exploring all its technical parts and actionable contents.

In this course, we will introduce the concept of robustness in the context of deep learning systems, by exploring the potential dangers of non-robust neural networks and proposing a workflow for identifying and assessing robustness issues, following ISO/IEC 24029-1:2021.

How will I benefit?

This course will help you:

Gain awareness of the meaning of robustness in the context of AI systems, which is a key concept in the forthcoming EU AI regulation
Spot where and how robustness concerns may arise
Understand the different kinds of robustness issues that one can face in the development and deployment of deep learning systems

Please Note

The course features interactive elements, knowledge checks, and comprehension tests. While we provide an estimated duration on the website, the actual completion time may vary based on your progress.
You'll have access to this course lasting 90 days from activation, allowing you to revisit and review materials whenever and wherever it suits your schedule.

Upon completion of this course, you will be able to:
- Explain what robustness of an AI system is
- Recognize the different kinds of robustness issues that one can face in the development and deployment of deep learning systems
- AI Managers
- Data Governance Managers
- Data Scientists
- Data Analysts
- Data Engineers
- Machine Learning Engineers
- AI architects
1. Once you've completed your registration and payment, you'll receive a system-generated activation email with password set up instructions.
2. The course content can be accessed and reviewed multiple times within 90 days of receiving the activation email.
3. For course-related questions or technical issues, please contact:
- Ms. Maggie Chiang: +886 2 26560333 ext. 139
- Ms. Winnie Tsai: +886 2 26560333 ext. 145
, or email us at Maggie.chiang@bsigroup.com / Winnie.tsai@bsigroup.com
1. BSI reserves the right to make final interpretations of course-related policies.
2. To learn more about our On-Demand Courses, please visit our website.
On completion, you’ll be awarded an internationally recognized BSI training course certificate.
The course assumes that delegates know the basic concepts of AI, and understand what a neural network is.

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