{"id":28780931,"url":"https://github.com/andreww/keras_play","last_synced_at":"2026-05-11T07:43:02.156Z","repository":{"id":66469841,"uuid":"86441093","full_name":"andreww/keras_play","owner":"andreww","description":"Playing with Keras","archived":false,"fork":false,"pushed_at":"2017-03-28T09:38:28.000Z","size":178,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-06-17T18:09:48.141Z","etag":null,"topics":["machine-learning","python","tensorflow"],"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/andreww.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,"zenodo":null}},"created_at":"2017-03-28T09:29:27.000Z","updated_at":"2017-03-28T15:52:22.000Z","dependencies_parsed_at":"2023-04-10T18:49:48.526Z","dependency_job_id":null,"html_url":"https://github.com/andreww/keras_play","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/andreww/keras_play","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/andreww%2Fkeras_play","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/andreww%2Fkeras_play/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/andreww%2Fkeras_play/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/andreww%2Fkeras_play/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/andreww","download_url":"https://codeload.github.com/andreww/keras_play/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/andreww%2Fkeras_play/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":264247848,"owners_count":23579054,"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":["machine-learning","python","tensorflow"],"created_at":"2025-06-17T18:08:51.238Z","updated_at":"2026-05-11T07:42:57.123Z","avatar_url":"https://github.com/andreww.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"Playing around with Keras\n\nSome notebooks as I work out if I can do anything useful\nwith Keras...\n\nInstall\n=======\n\nI'm using Keras and the TensorFlow backend. It makes sense to\ninstall this in its own environment and I'm an anaconda user and\nam moving most of my python over to python 3. So the first step is\nto set up a full new anaconda environment using python 3.5:\n\n    conda create -n tensorflow python=3.5 anaconda\n\nThen switch to the new environment:\n\n    source activate tensorflow\n\nThe next step is to install the TensorFlow backend inside the conda \nenvironment following the documentation at \nhttps://www.tensorflow.org/install/install_mac#installing_with_anaconda\nthis amounts to running:\n\n    pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.0.1-py3-none-any.whl\n\nDo the basc validation by following the instructions at: https://www.tensorflow.org/install/install_mac#ValidateYourInstallation - I get warnings about\ntensorflow not using SSE4.1, 4.2 AVX AVX2 and FMA instructions. But I'm only\nplaying on this machine so I'll take the (probably quite big) hit. Finally,\ninstall keras:\n\n    pip install keras\n\nIt seems this also installs the theano back end.\n\n\nResources\n=========\n\nIn terms of designing NN this looks useful: http://hagan.okstate.edu/NNDesign.pdf\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fandreww%2Fkeras_play","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fandreww%2Fkeras_play","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fandreww%2Fkeras_play/lists"}