How to assess robustness of neural networks awareness on-demand training course

Level Understanding Duration 30 minutes

Available to book: On-demand elearning Book now

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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

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
- AI Managers
- Data Governance Managers
- Data Scientists
- Data Analysts
- Data Engineers
- Machine Learning Engineers
- AI architects
On completion, you'll be awarded an internationally recognized BSI Training Academy certificate

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