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Title: GitHub - BoneCapsule/DeepLearning: 软件测试与质量深度学习作业。针对深度学习图像识别模型的自动化测试框架，设计并实现一个 Python 实现 的基于 TensorFlow 的深度学习图像识别模型的自动化测试方法，采用特定的方 式，根据提供的训练数据集和待测数据集，由待测数据集尽量生成使得模型出错但 是和原始数据“相似度”高的测试数据 · GitHub

Open Graph Title: GitHub - BoneCapsule/DeepLearning: 软件测试与质量深度学习作业。针对深度学习图像识别模型的自动化测试框架，设计并实现一个 Python 实现 的基于 TensorFlow 的深度学习图像识别模型的自动化测试方法，采用特定的方 式，根据提供的训练数据集和待测数据集，由待测数据集尽量生成使得模型出错但 是和原始数据“相似度”高的测试数据

X Title: GitHub - BoneCapsule/DeepLearning: 软件测试与质量深度学习作业。针对深度学习图像识别模型的自动化测试框架，设计并实现一个 Python 实现 的基于 TensorFlow 的深度学习图像识别模型的自动化测试方法，采用特定的方 式，根据提供的训练数据集和待测数据集，由待测数据集尽量生成使得模型出错但 是和原始数据“相似度”高的测试数据

Description: 软件测试与质量深度学习作业。针对深度学习图像识别模型的自动化测试框架，设计并实现一个 Python 实现 的基于 TensorFlow 的深度学习图像识别模型的自动化测试方法，采用特定的方 式，根据提供的训练数据集和待测数据集，由待测数据集尽量生成使得模型出错但 是和原始数据“相似度”高的测试数据 - BoneCapsule/DeepLearning

Open Graph Description: 软件测试与质量深度学习作业。针对深度学习图像识别模型的自动化测试框架，设计并实现一个 Python 实现 的基于 TensorFlow 的深度学习图像识别模型的自动化测试方法，采用特定的方 式，根据提供的训练数据集和待测数据集，由待测数据集尽量生成使得模型出错但 是和原始数据“相似度”高的测试数据 - BoneCapsule/DeepLearning

X Description: 软件测试与质量深度学习作业。针对深度学习图像识别模型的自动化测试框架，设计并实现一个 Python 实现 的基于 TensorFlow 的深度学习图像识别模型的自动化测试方法，采用特定的方 式，根据提供的训练数据集和待测数据集，由待测数据集尽量生成使得模型出错但 是和原始数据“相似度”高的测试数据 - BoneCapsule/DeepLearning

Opengraph URL: https://github.com/BoneCapsule/DeepLearning

X: @github

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