Title: Pull requests · lieuiqi/pythonNNexample · GitHub
Open Graph Title: Pull requests · lieuiqi/pythonNNexample
X Title: Pull requests · lieuiqi/pythonNNexample
Description: Annotations for the Sirajology Python NN Example. This code comes from a demo NN program from the YouTube video https://youtu.be/h3l4qz76JhQ. The program creates an neural network that simulates the exclusive OR function with two inputs and one output. - Pull requests · lieuiqi/pythonNNexample
Open Graph Description: Annotations for the Sirajology Python NN Example. This code comes from a demo NN program from the YouTube video https://youtu.be/h3l4qz76JhQ. The program creates an neural network that simulates th...
X Description: Annotations for the Sirajology Python NN Example. This code comes from a demo NN program from the YouTube video https://youtu.be/h3l4qz76JhQ. The program creates an neural network that simulates th...
Opengraph URL: https://github.com/lieuiqi/pythonNNexample
X: @github
Domain: patch-diff.githubusercontent.com
| route-pattern | /:user_id/:repository/pulls(.:format) |
| route-controller | pull_requests |
| route-action | index |
| fetch-nonce | v2:cea8cee4-6889-da37-6a1d-73c4b8db33de |
| current-catalog-service-hash | ae870bc5e265a340912cde392f23dad3671a0a881730ffdadd82f2f57d81641b |
| request-id | CE12:11A4DD:CA27AF:114D482:698127AA |
| html-safe-nonce | cd267ae53f314b4f03fabc03b0945e538de760fcd4320c8c60677fe3240da183 |
| visitor-payload | eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJDRTEyOjExQTRERDpDQTI3QUY6MTE0RDQ4Mjo2OTgxMjdBQSIsInZpc2l0b3JfaWQiOiI1MDYwODIxOTQzMDI0OTUzMjU4IiwicmVnaW9uX2VkZ2UiOiJpYWQiLCJyZWdpb25fcmVuZGVyIjoiaWFkIn0= |
| visitor-hmac | 067cf35e89e38ce2a9aafdf8c633633493044442d0f69a3cf1ed57fe09203639 |
| hovercard-subject-tag | repository:157044122 |
| 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/lieuiqi/pythonNNexample/pulls |
| twitter:image | https://opengraph.githubassets.com/4e47be5766bd100b4abf360c61bd0fb324048b01cf86365f8c2b0a649521cb83/lieuiqi/pythonNNexample |
| twitter:card | summary_large_image |
| og:image | https://opengraph.githubassets.com/4e47be5766bd100b4abf360c61bd0fb324048b01cf86365f8c2b0a649521cb83/lieuiqi/pythonNNexample |
| og:image:alt | Annotations for the Sirajology Python NN Example. This code comes from a demo NN program from the YouTube video https://youtu.be/h3l4qz76JhQ. The program creates an neural network that simulates th... |
| og:image:width | 1200 |
| og:image:height | 600 |
| og:site_name | GitHub |
| og:type | object |
| hostname | github.com |
| expected-hostname | github.com |
| None | 39fe8101494cbb823c09b619b68c80cd4d05ab7279997038dbe06bb91608abe1 |
| turbo-cache-control | no-preview |
| go-import | github.com/lieuiqi/pythonNNexample git https://github.com/lieuiqi/pythonNNexample.git |
| octolytics-dimension-user_id | 39946335 |
| octolytics-dimension-user_login | lieuiqi |
| octolytics-dimension-repository_id | 157044122 |
| octolytics-dimension-repository_nwo | lieuiqi/pythonNNexample |
| octolytics-dimension-repository_public | true |
| octolytics-dimension-repository_is_fork | true |
| octolytics-dimension-repository_parent_id | 70839196 |
| octolytics-dimension-repository_parent_nwo | stmorgan/pythonNNexample |
| octolytics-dimension-repository_network_root_id | 70839196 |
| octolytics-dimension-repository_network_root_nwo | stmorgan/pythonNNexample |
| 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 | d5b34a4e4898b066c629879feb4b184bc471d6a7 |
| ui-target | full |
| theme-color | #1e2327 |
| color-scheme | light dark |
Links:
Viewport: width=device-width