Deep Learning Toolbox Verification Library

作者: MathWorks Deep Learning Toolbox Team
Verify and test robustness of deep learning networks
5.0
(3)
798.0 次下载
更新时间 2024/3/20
Deep Learning Toolbox Verification Library enables testing robustness properties of deep learning networks.
Use this library to:
  • Verify network robustness to adversarial examples (Since R2022b)
  • Estimate how sensitive the network predictions are to input perturbation (Since R2022b)
  • 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)
  • Detect out-of-distribution (ODD) data in neural networks (Since R2023a)
  • Generate C/C++ and CUDA code for out-of-distribution (runtime monitoring) (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 R2024a 的版本
平台兼容性
Windows macOS (Apple 芯片) macOS (Intel) Linux

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