{"id":15407230,"url":"https://github.com/ltfschoen/aind2-dl","last_synced_at":"2025-06-10T09:05:47.812Z","repository":{"id":76619922,"uuid":"94168713","full_name":"ltfschoen/aind2-dl","owner":"ltfschoen","description":"AIND Jupyter Notebook to predict student admissions using Keras Neural Networks","archived":false,"fork":false,"pushed_at":"2017-06-19T10:58:44.000Z","size":141,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-23T06:46:57.571Z","etag":null,"topics":["categorical-cross-entropy","cross-entropy","data-cleaning","error-functions","keras-neural-networks","loss-functions","matplotlib-figures","multi-layer-perceptron","normalize","one-hot-encode","pandas-dataframes","scatter-plot","sigmoid","splitting","stochastic-gradient-descent","training-set-generator"],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","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/ltfschoen.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,"publiccode":null,"codemeta":null}},"created_at":"2017-06-13T04:24:56.000Z","updated_at":"2017-06-13T04:33:03.000Z","dependencies_parsed_at":null,"dependency_job_id":"b2b4767c-7f22-46cd-9c15-56258c8b864d","html_url":"https://github.com/ltfschoen/aind2-dl","commit_stats":{"total_commits":23,"total_committers":3,"mean_commits":7.666666666666667,"dds":"0.26086956521739135","last_synced_commit":"958ac8f91991c979e88a8abf8fd26f7dd9a781f3"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ltfschoen%2Faind2-dl","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ltfschoen%2Faind2-dl/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ltfschoen%2Faind2-dl/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ltfschoen%2Faind2-dl/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ltfschoen","download_url":"https://codeload.github.com/ltfschoen/aind2-dl/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ltfschoen%2Faind2-dl/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":259043770,"owners_count":22797161,"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":["categorical-cross-entropy","cross-entropy","data-cleaning","error-functions","keras-neural-networks","loss-functions","matplotlib-figures","multi-layer-perceptron","normalize","one-hot-encode","pandas-dataframes","scatter-plot","sigmoid","splitting","stochastic-gradient-descent","training-set-generator"],"created_at":"2024-10-01T16:27:51.122Z","updated_at":"2025-06-10T09:05:47.790Z","avatar_url":"https://github.com/ltfschoen.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# aind2-dl\n\n### Instructions\n\n1. Clone the repository and navigate to the downloaded folder.\n\t\n\t```\t\n\t\tgit clone https://github.com/udacity/aind2-dl.git\n\t\tcd aind2-dl\n\t```\n\n2. Obtain the necessary Python packages, and switch Keras backend to Tensorflow.  \n\t\n\tFor __Mac/OSX__ or __Linux__:\n\t```\n\t\tconda env create -f requirements/aind-dl-mac-linux.yml\n\t\tsource activate aind-dl\n\t\tKERAS_BACKEND=tensorflow python -c \"from keras import backend\"\n\t```\n\n\tFor __Windows__:\n\t```\n\t\tconda env create -f requirements/aind-dl-windows.yml\n\t\tactivate aind-dl\n\t\tset KERAS_BACKEND=tensorflow\n\t\tpython -c \"from keras import backend\"\n\t```\n\t\n3. Enjoy!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fltfschoen%2Faind2-dl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fltfschoen%2Faind2-dl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fltfschoen%2Faind2-dl/lists"}