{
  "id": 302770,
  "title": "Has anyone tried Aux Loss ? ",
  "url": "/competitions/tensorflow-great-barrier-reef/discussion/302770",
  "author_name": "",
  "post_date": "2022-01-24T07:43:06.810779800Z",
  "votes": 2,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Has anyone tried auxiliary loss for this comp? If so how are the results?</p>",
  "messages": [
    {
      "id": "1662341",
      "postDate": "01/24/2022 07:43:06",
      "content": "<p>Has anyone tried auxiliary loss for this comp? If so how are the results?</p>",
      "rawMarkdown": "Has anyone tried auxiliary loss for this comp? If so how are the results?",
      "votes": null
    },
    {
      "id": "1662393",
      "postDate": "01/24/2022 08:41:49",
      "content": "<p>It can help you in reducing training time but will not affect the performance of the final model.</p>",
      "rawMarkdown": "It can help you in reducing training time but will not affect the performance of the final model.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1662393,
      "author_name": "anirudhyadav9784",
      "author_url": "",
      "post_date": "01/24/2022 08:41:49",
      "content": "<p>It can help you in reducing training time but will not affect the performance of the final model.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1662341": "Has anyone tried auxiliary loss for this comp? If so how are the results?",
    "1662393": "It can help you in reducing training time but will not affect the performance of the final model."
  },
  "source": "meta"
}