AI Verification Library for Deep Learning Toolbox

作者: MathWorks Deep Learning Toolbox Team

Verify and test robustness of deep learning networks, deploy with confidence

3.3K 次下载

更新时间 2025/10/15

AI Verification Library for Deep Learning Toolbox allows you to verify and test properties of deep learning networks, and deploy these models with confidence.

Use this library to:

Verify network robustness to adversarial examples (Since R2022b)
Estimate how sensitive the network predictions are to input perturbation (Since R2022b)
Verify network properties in parallel with multiple GPU and CPU support (Since R2024a; Library Version 24.1.1)
Verify branched networks (Since R2024b; Library Version 24.2.2)
Explain object detection network predictions using D-RISE (Since R2024a)
Create a distribution discriminator that separates data into in- and out-of-distribution (Since R2023a)
Runtime Monitoring: detect out-of-distribution (ODD) data in neural networks (Since R2023a)
Runtime Monitoring: generate C/C++ and CUDA code for out-of-distribution detection (Since R2023a)

Please refer to the documentation here: https://www.mathworks.com/help/deeplearning/verification.html

If you have download or installation problems, please contact Technical Support: https://www.mathworks.com/support/contact_us.html

MATLAB 版本兼容性

创建方式 R2022b

兼容 R2022b 到 R2026a 的版本

平台兼容性

Windows macOS (Apple 芯片) macOS (Intel) Linux

类别

在 Help Center 和 MATLAB Answers 中查找有关 Verification, Validation, and Test 的更多信息

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