{"id":23047343,"url":"https://github.com/aurelienmorgan/edx-keras-cnn","last_synced_at":"2025-04-03T02:45:30.115Z","repository":{"id":236245425,"uuid":"187208565","full_name":"aurelienmorgan/edx-keras-cnn","owner":"aurelienmorgan","description":"Image Processing with Convolutional Neural Networks (keras with ‘tensorflow over local GPU’ as a back-end in R)","archived":false,"fork":false,"pushed_at":"2020-09-09T07:23:01.000Z","size":41453,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-02-08T17:09:32.934Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/aurelienmorgan.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2019-05-17T11:58:42.000Z","updated_at":"2024-12-07T17:58:56.000Z","dependencies_parsed_at":"2024-04-26T09:37:39.943Z","dependency_job_id":null,"html_url":"https://github.com/aurelienmorgan/edx-keras-cnn","commit_stats":null,"previous_names":["aurelienmorgan/edx-keras-cnn"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aurelienmorgan%2Fedx-keras-cnn","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aurelienmorgan%2Fedx-keras-cnn/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aurelienmorgan%2Fedx-keras-cnn/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aurelienmorgan%2Fedx-keras-cnn/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aurelienmorgan","download_url":"https://codeload.github.com/aurelienmorgan/edx-keras-cnn/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246927807,"owners_count":20856193,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-12-15T22:32:48.470Z","updated_at":"2025-04-03T02:45:27.868Z","avatar_url":"https://github.com/aurelienmorgan.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# Image Processing with Convolutional Neural Networks\n## (keras with ‘tensorflow over local GPU’ as a back-end in R)\n### Stepping into CNN, one toe at a time\n\n\u003chr /\u003e\n\nExamples of \u003cb\u003eImage Processing applications of Deep Learning\u003c/b\u003e.\n\n\u003csmall\u003eView the complete 6 pages PDF report (+ appendices)\n\u003ca alt=\"CNN in R pdf report\" href=\"https://nbviewer.jupyter.org/github/aurelienmorgan/edx-keras-cnn/blob/master/Report.pdf\" target=\"_blank\"\u003ehere\u003ca\u003e.\u003c/small\u003e\n\n\n\u003cu\u003efiles that constitute that repository\u003c/u\u003e\u0026nbsp;:\n\n- **Report.Rmd** :\nportable rmarkdown script file to generate the report pdf.\nREMARK: the 'keras' package isn't required to exectute that Rmd file.\n\n- **algorithm.R** :\nsource code for the two algorithms described in the report.\n\n\n- **./images/style_transfer** folder :\nfrom the _'stype transfer'_ section of the report,\n'original' content image and 2 'generated' pictures\n\n\n- **./models** folder\nRDS \u0026 h5 serialization files for trained models and predictions.\n\n\n\n\nKEYWORDS :\n\t```CNN```, ```Image Classification```, ```Style Transfer```\n\t, ```R```, ```Tensorflow```, ```Keras```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faurelienmorgan%2Fedx-keras-cnn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faurelienmorgan%2Fedx-keras-cnn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faurelienmorgan%2Fedx-keras-cnn/lists"}