Artificial Intelligence

Apply machine learning and deep learning

結果: Explainable AI

Explainability in Object Detection for MATLAB, TensorFlow, and PyTorch Models

著者 Sivylla Paraskevopoulou,

In R2024a, Deep Learning Toolbox Verification Library introduced the d-rise function. D-RISE is an explainability tool that helps you visualize and understand  which parts are important for object... 続きを読む >>

カテゴリ: 
Deep Learning,
Deep Learning Example,
Explainable AI,
MATLAB with Python,
New features,
PyTorch,
TensorFlow

What’s New for Low-Code AI in MATLAB R2023b

著者 Sivylla Paraskevopoulou,

With every MATLAB release, the low-code AI apps offer new features that make integrating AI into your workflow easier, faster, and more interactive. To catch up on what's new, I've written... 続きを読む >>

カテゴリ: 
Deep Learning,
Explainable AI,
Low-Code Apps,
Machine Learning

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

著者 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... 続きを読む >>

カテゴリ: 
Blog Series,
Deep Learning,
Explainable AI,
Machine Learning

Explainable AI (XAI): Are we there yet?

著者 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... 続きを読む >>

カテゴリ: 
Blog Series,
Deep Learning,
Explainable AI

What is Explainable AI?

著者 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)... 続きを読む >>

カテゴリ: 
Blog Series,
Deep Learning,
Explainable AI