{"id":13749884,"url":"https://github.com/hansemannn/titanium-deep-learning","last_synced_at":"2025-04-15T20:42:25.646Z","repository":{"id":142791337,"uuid":"91985120","full_name":"hansemannn/titanium-deep-learning","owner":"hansemannn","description":"Use the JetPac DeepBeliefSDK framework in Appcelerator Titanium","archived":false,"fork":false,"pushed_at":"2017-06-23T17:03:56.000Z","size":1971,"stargazers_count":11,"open_issues_count":1,"forks_count":0,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-03-29T01:11:25.836Z","etag":null,"topics":["deep-learning","javascript","machine-learning","native","neural-networks","titanium"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/hansemannn.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2017-05-21T20:22:58.000Z","updated_at":"2021-07-14T02:26:04.000Z","dependencies_parsed_at":"2023-05-29T13:47:37.024Z","dependency_job_id":null,"html_url":"https://github.com/hansemannn/titanium-deep-learning","commit_stats":null,"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hansemannn%2Ftitanium-deep-learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hansemannn%2Ftitanium-deep-learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hansemannn%2Ftitanium-deep-learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hansemannn%2Ftitanium-deep-learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hansemannn","download_url":"https://codeload.github.com/hansemannn/titanium-deep-learning/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":249151700,"owners_count":21221098,"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":["deep-learning","javascript","machine-learning","native","neural-networks","titanium"],"created_at":"2024-08-03T07:01:16.563Z","updated_at":"2025-04-15T20:42:25.604Z","avatar_url":"https://github.com/hansemannn.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# Titanium Deep-Learning\nUse the JetPac DeepBeliefSDK framework in Appcelerator Titanium.\n\n\u003e **Note**: This module does not support apps running with app-thinning enabled so far. It will be part of upcoming versions and is scheduled already.\n\n## Example\n```js\nvar TiDeepLearning = require('ti.deeplearning');\n\nTiDeepLearning.initializeNetwork({\n    name: 'jetpac.ntwk' // Search and download from the DeepBelief SDK Github page\n});\n\nTiDeepLearning.classifyImage({\n    image: 'macintosh.jpg',\n    minimumThreshold: 0.01,\n    decay: 0.75, \n    callback: function(e) {\n        Ti.API.info(e.result);\n    }\n});\n```\nThe above example with return an array with predictions, like this:\n```\n(\n    {\n        label = printer;\n        value = \"0.1368110626935959\";\n    },\n    {\n        label = monitor;\n        value = \"0.06563640385866165\";\n    },\n    {\n        label = \"desktop computer\";\n        value = \"0.143329456448555\";\n    },\n    {\n        label = screen;\n        value = \"0.4579531848430634\";\n    },\n    {\n        label = iPod;\n        value = \"0.01504476089030504\";\n    },\n    {\n        label = \"cash machine\";\n        value = \"0.02499096281826496\";\n    },\n    {\n        label = safe;\n        value = \"0.01404030714184046\";\n    },\n    {\n        label = \"entertainment center\";\n        value = \"0.01761411875486374\";\n    },\n    {\n        label = television;\n        value = \"0.06137070804834366\";\n    }\n)\n```\nNote that the values highly depend on your network and complexity of classification. \nFor a full example, check the demos in `example/app.js`.\n\n## Author\nHans Knoechel ([@hansemannnn](https://twitter.com/hansemannnn) / [Web](http://hans-knoechel.de))\n\n## License\nMIT\n\n## Contributing\nCode contributions are greatly appreciated, please submit a new [pull request](https://github.com/hansemannn/titanium-deep-learning/pull/new/master)!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhansemannn%2Ftitanium-deep-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhansemannn%2Ftitanium-deep-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhansemannn%2Ftitanium-deep-learning/lists"}