{
  "id": 19190,
  "title": "Teaming up",
  "url": "/competitions/second-annual-data-science-bowl/discussion/19190",
  "author_name": "==>(AL)<==",
  "post_date": "2016-02-25T22:20:21.133000",
  "votes": 0,
  "comment_count": 0,
  "views": 343,
  "content": "<p>The <a href=\"https://www.kaggle.com/t/258426/keras-io\">Keras.io</a> team is looking to diversify its model stack. As the name implies, the main development is centered on using <a href=\"http://keras.io/\">Keras Deep Learning framework</a> and builds upon <a href=\"https://www.kaggle.com/c/second-annual-data-science-bowl/forums/t/18548/keras-deep-learning-tutorial-0-0359\">Marko's tutorial</a> (<a href=\"https://www.kaggle.com/jocicmarko\">Marko</a> is a core member of the team)</p>\n\n<p>Currently our score on the public LB is 0.015823 which gives us 14th position</p>\n\n<p>We are looking to diversify our ensemble with either non-CNN based solution(s) or another type(s) of CNN solution(s). Although we will entertain any offers, our ideal candidate(s) would have a LB score below 0.02 and the best single model score below 0.022</p>\n\n<p>PM me if you are interested</p>",
  "messages": [
    {
      "id": 109425,
      "postDate": "2016-02-25T22:20:21.133Z",
      "content": "<p>The <a href=\"https://www.kaggle.com/t/258426/keras-io\">Keras.io</a> team is looking to diversify its model stack. As the name implies, the main development is centered on using <a href=\"http://keras.io/\">Keras Deep Learning framework</a> and builds upon <a href=\"https://www.kaggle.com/c/second-annual-data-science-bowl/forums/t/18548/keras-deep-learning-tutorial-0-0359\">Marko's tutorial</a> (<a href=\"https://www.kaggle.com/jocicmarko\">Marko</a> is a core member of the team)</p>\n\n<p>Currently our score on the public LB is 0.015823 which gives us 14th position</p>\n\n<p>We are looking to diversify our ensemble with either non-CNN based solution(s) or another type(s) of CNN solution(s). Although we will entertain any offers, our ideal candidate(s) would have a LB score below 0.02 and the best single model score below 0.022</p>\n\n<p>PM me if you are interested</p>",
      "rawMarkdown": "The [Keras.io][1] team is looking to diversify its model stack. As the name implies, the main development is centered on using [Keras Deep Learning framework][2] and builds upon [Marko's tutorial][3] ([Marko][4] is a core member of the team)\r\n\r\nCurrently our score on the public LB is 0.015823 which gives us 14th position\r\n\r\nWe are looking to diversify our ensemble with either non-CNN based solution(s) or another type(s) of CNN solution(s). Although we will entertain any offers, our ideal candidate(s) would have a LB score below 0.02 and the best single model score below 0.022\r\n\r\nPM me if you are interested\r\n\r\n  [1]: https://www.kaggle.com/t/258426/keras-io\r\n  [2]: http://keras.io/\r\n  [3]: https://www.kaggle.com/c/second-annual-data-science-bowl/forums/t/18548/keras-deep-learning-tutorial-0-0359\r\n  [4]: https://www.kaggle.com/jocicmarko"
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "109425": "The [Keras.io][1] team is looking to diversify its model stack. As the name implies, the main development is centered on using [Keras Deep Learning framework][2] and builds upon [Marko's tutorial][3] ([Marko][4] is a core member of the team)\r\n\r\nCurrently our score on the public LB is 0.015823 which gives us 14th position\r\n\r\nWe are looking to diversify our ensemble with either non-CNN based solution(s) or another type(s) of CNN solution(s). Although we will entertain any offers, our ideal candidate(s) would have a LB score below 0.02 and the best single model score below 0.022\r\n\r\nPM me if you are interested\r\n\r\n  [1]: https://www.kaggle.com/t/258426/keras-io\r\n  [2]: http://keras.io/\r\n  [3]: https://www.kaggle.com/c/second-annual-data-science-bowl/forums/t/18548/keras-deep-learning-tutorial-0-0359\r\n  [4]: https://www.kaggle.com/jocicmarko"
  }
}