robustness:一个用于实验,训练和评估神经网络的库,重点是对抗性的鲁棒性

上传者: 42166626 | 上传时间: 2022-11-02 17:20:06 | 文件大小: 6.36MB | 文件类型: ZIP
健壮性包 通过安装pip : pip install robustness 阅读文档: : robustness是我们(在中的)创建的一个软件包,用于灵活,轻松地进行训练,评估和探索神经网络。 我们几乎在我们所有的项目中都使用了它(无论它们是否涉及对抗训练!),并且它将成为我们即将发布的许多代码版本中的依赖项。 使用该库的一些项目包括: ( ) ( ) ( ) ( ) 我们将在一组演练和我们的API参考中演示如何使用该库。 该库提供的功能包括: 使用针对各种数据集/体系结构训练和评估标准模型和健壮模型。 该库还提供添加和。 python -m robustness.main --dataset cifar --data /path/to/cifar \ --adv-train 0 --arch resnet18 --out-dir /logs/check

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