{
  "id": 514100,
  "title": "Confusion with data given",
  "url": "/competitions/rsna-2024-lumbar-spine-degenerative-classification/discussion/514100",
  "author_name": "",
  "post_date": "2024-06-22T22:36:02.863144100Z",
  "votes": 1,
  "comment_count": 2,
  "views": 0,
  "content": "<p>I have been brainstorming about how to correctly format, parse, and work with the data given. My problem is that I don't know what to feed in the Neural Network and what to output, how to work with the output-ed data and how to combine predictions of all images of a study_id into one final output (e.g. how the submit format should be or how the train.csv file is)</p>",
  "messages": [
    {
      "id": "2885068",
      "postDate": "06/22/2024 22:36:02",
      "content": "<p>I have been brainstorming about how to correctly format, parse, and work with the data given. My problem is that I don't know what to feed in the Neural Network and what to output, how to work with the output-ed data and how to combine predictions of all images of a study_id into one final output (e.g. how the submit format should be or how the train.csv file is)</p>",
      "rawMarkdown": "I have been brainstorming about how to correctly format, parse, and work with the data given. My problem is that I don't know what to feed in the Neural Network and what to output, how to work with the output-ed data and how to combine predictions of all images of a study_id into one final output (e.g. how the submit format should be or how the train.csv file is)",
      "votes": null
    },
    {
      "id": "2885760",
      "postDate": "06/23/2024 08:58:17",
      "content": "<p>You can start from this starter notebook (<a href=\"https://www.kaggle.com/code/shubhamcodez/rsna-efficientnet-starter-notebook/notebook)\" target=\"_blank\">https://www.kaggle.com/code/shubhamcodez/rsna-efficientnet-starter-notebook/notebook)</a>. It's really helpful for beginners</p>",
      "rawMarkdown": "You can start from this starter notebook (https://www.kaggle.com/code/shubhamcodez/rsna-efficientnet-starter-notebook/notebook). It's really helpful for beginners",
      "votes": null
    },
    {
      "id": "2886807",
      "postDate": "06/23/2024 19:33:35",
      "content": "<p>Thank you! I couldn't move on without you.</p>",
      "rawMarkdown": "Thank you! I couldn't move on without you.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2885760,
      "author_name": "tabassumnova",
      "author_url": "",
      "post_date": "06/23/2024 08:58:17",
      "content": "<p>You can start from this starter notebook (<a href=\"https://www.kaggle.com/code/shubhamcodez/rsna-efficientnet-starter-notebook/notebook)\" target=\"_blank\">https://www.kaggle.com/code/shubhamcodez/rsna-efficientnet-starter-notebook/notebook)</a>. It's really helpful for beginners</p>",
      "votes": null,
      "replies": [
        {
          "id": 2886807,
          "author_name": "psychee",
          "author_url": "",
          "post_date": "06/23/2024 19:33:35",
          "content": "<p>Thank you! I couldn't move on without you.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2885068": "I have been brainstorming about how to correctly format, parse, and work with the data given. My problem is that I don't know what to feed in the Neural Network and what to output, how to work with the output-ed data and how to combine predictions of all images of a study_id into one final output (e.g. how the submit format should be or how the train.csv file is)",
    "2885760": "You can start from this starter notebook (https://www.kaggle.com/code/shubhamcodez/rsna-efficientnet-starter-notebook/notebook). It's really helpful for beginners",
    "2886807": "Thank you! I couldn't move on without you."
  },
  "source": "meta"
}