Artificial Intelligence

Apply machine learning and deep learning

다음에 대한 결과: Blog Series

Verification and Validation for AI: From model implementation to requirements validation 1

저자 Sivylla Paraskevopoulou,

The following post is from Lucas García, Product Manager for Deep Learning Toolbox. This is the fourth and final post of our Verification and Validation for AI post series. Check out our... 더 읽어보기 >>

범주: 
AI verification,
Blog Series,
Deep Learning,
Machine Learning

Verification and Validation for AI: Learning process verification

저자 Sivylla Paraskevopoulou,

The following post is from Lucas García, Product Manager for Deep Learning Toolbox.  This is the third post in a 4-post series on Verification and Validation (V&V) for AI. The series... 더 읽어보기 >>

범주: 
AI verification,
Blog Series,
Deep Learning

Verification and Validation for AI: From requirements to robust modeling

저자 Sivylla Paraskevopoulou,

The following post is from Lucas García, Product Manager for Deep Learning Toolbox.  This is the second post in a 4-post series on Verification and Validation for AI. In the first post, we gave an... 더 읽어보기 >>

범주: 
AI verification,
Blog Series,
Deep Learning,
Machine Learning

The Road to AI Certification: The importance of Verification and Validation in AI 1

저자 Sivylla Paraskevopoulou,

The following post is from Lucas García, Product Manager for Deep Learning Toolbox. Artificial Intelligence (AI) is rapidly transforming our daily lives, from personal assistants on our... 더 읽어보기 >>

범주: 
AI verification,
Blog Series,
Deep Learning,
Machine Learning

Explainable AI (XAI): Implement explainability in your work 1

저자 Sivylla Paraskevopoulou,

This post is from Oge Marques, PhD and Professor of Engineering and Computer Science at FAU. This is the third post in a 3-post series on Explainable AI (XAI). In the first post, we showed... 더 읽어보기 >>

범주: 
Blog Series,
Deep Learning,
Explainable AI,
Machine Learning

Explainable AI (XAI): Are we there yet?

저자 Sivylla Paraskevopoulou,

This post is from Oge Marques, PhD and Professor of Engineering and Computer Science at FAU.   This is the second post in a 3-post series on Explainable AI (XAI). The first post... 더 읽어보기 >>

범주: 
Blog Series,
Deep Learning,
Explainable AI

What is Explainable AI?

저자 Johanna Pingel,

How and When to Use Explainable AI Techniques This post is from Oge Marques, PhD and Professor of Engineering and Computer Science at FAU. Despite impressive achievements, deep learning (DL)... 더 읽어보기 >>

범주: 
Blog Series,
Deep Learning,
Explainable AI