Title: Pull requests · BoneCapsule/DeepLearning · GitHub
Open Graph Title: Pull requests · BoneCapsule/DeepLearning
X Title: Pull requests · BoneCapsule/DeepLearning
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 - Pull requests · 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 - Pull requests · 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 - Pull requests · BoneCapsule/DeepLearning
Opengraph URL: https://github.com/BoneCapsule/DeepLearning
X: @github
Domain: github.com
| route-pattern | /:user_id/:repository/pulls(.:format) |
| route-controller | pull_requests |
| route-action | index |
| fetch-nonce | v2:99294f09-f211-c465-71ec-e018aca009c2 |
| current-catalog-service-hash | ae870bc5e265a340912cde392f23dad3671a0a881730ffdadd82f2f57d81641b |
| request-id | E772:37AF14:33D3F:4B3D7:6A577303 |
| html-safe-nonce | da8937c04e6abf14277e9bcfd98833373e1735571e013ba528c496658b1c8611 |
| visitor-payload | eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJFNzcyOjM3QUYxNDozM0QzRjo0QjNENzo2QTU3NzMwMyIsInZpc2l0b3JfaWQiOiI4NDQzMjYwNzk0OTA1Nzg1MDkxIiwicmVnaW9uX2VkZ2UiOiJpYWQiLCJyZWdpb25fcmVuZGVyIjoiaWFkIn0= |
| visitor-hmac | 8921c7a370b51eb3a1d57c8f33c3d06321f2636cdf58a31c2575bdb4825bfd0e |
| hovercard-subject-tag | repository:196000515 |
| github-keyboard-shortcuts | repository,pull-request-list,pull-request-conversation,pull-request-files-changed,copilot |
| google-site-verification | Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I |
| octolytics-url | https://collector.github.com/github/collect |
| analytics-location-query-strip | true |
| analytics-location | / |
| fb:app_id | 1401488693436528 |
| apple-itunes-app | app-id=1477376905, app-argument=https://github.com/BoneCapsule/DeepLearning/pulls |
| twitter:image | https://opengraph.githubassets.com/a98b00cdb0592a73694eb26f2bfd9a12757f1719bd23bc9980d31548157a2fa6/BoneCapsule/DeepLearning |
| twitter:card | summary_large_image |
| og:image | https://opengraph.githubassets.com/a98b00cdb0592a73694eb26f2bfd9a12757f1719bd23bc9980d31548157a2fa6/BoneCapsule/DeepLearning |
| og:image:alt | 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 - Pull requests · BoneCapsule/DeepLearning |
| og:image:width | 1200 |
| og:image:height | 600 |
| og:site_name | GitHub |
| og:type | object |
| hostname | github.com |
| expected-hostname | github.com |
| None | 4e7a7296a3830877cf21a6ad2a972c9e618a48915e03966cf0c53eb08e5aad98 |
| turbo-cache-control | no-preview |
| go-import | github.com/BoneCapsule/DeepLearning git https://github.com/BoneCapsule/DeepLearning.git |
| octolytics-dimension-user_id | 27602371 |
| octolytics-dimension-user_login | BoneCapsule |
| octolytics-dimension-repository_id | 196000515 |
| octolytics-dimension-repository_nwo | BoneCapsule/DeepLearning |
| octolytics-dimension-repository_public | true |
| octolytics-dimension-repository_is_fork | false |
| octolytics-dimension-repository_network_root_id | 196000515 |
| octolytics-dimension-repository_network_root_nwo | BoneCapsule/DeepLearning |
| turbo-body-classes | logged-out env-production page-responsive |
| disable-turbo | false |
| browser-stats-url | https://api.github.com/_private/browser/stats |
| browser-errors-url | https://api.github.com/_private/browser/errors |
| release | c0ca805e53f128ba1f966be1d3ccd81d0d1959c7 |
| ui-target | full |
| theme-color | #1e2327 |
| color-scheme | light dark |
Links:
Viewport: width=device-width