{
  "id": 240541,
  "title": "ways to handle such large data. If i don't have a lot of computational resources",
  "url": "/competitions/siim-covid19-detection/discussion/240541",
  "author_name": "",
  "post_date": "2021-05-20T09:18:52.664855100Z",
  "votes": 3,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Is it possible that someone (like a student) can do this completely just depending on online computing support like Kaggle and colab .</p>\n<p>If yes please post your solutions it would be really helpful for students and beginners</p>",
  "messages": [
    {
      "id": "1316046",
      "postDate": "05/20/2021 09:18:52",
      "content": "<p>Is it possible that someone (like a student) can do this completely just depending on online computing support like Kaggle and colab .</p>\n<p>If yes please post your solutions it would be really helpful for students and beginners</p>",
      "rawMarkdown": "Is it possible that someone (like a student) can do this completely just depending on online computing support like Kaggle and colab .\n\nIf yes please post your solutions it would be really helpful for students and beginners",
      "votes": null
    },
    {
      "id": "1316172",
      "postDate": "05/20/2021 10:59:14",
      "content": "<p>I am also wondering whether to join the competition if the lack of sufficient computational resources can be a big obstacle.</p>",
      "rawMarkdown": "I am also wondering whether to join the competition if the lack of sufficient computational resources can be a big obstacle.",
      "votes": null
    },
    {
      "id": "1316373",
      "postDate": "05/20/2021 13:48:36",
      "content": "<p>I'm a Kaggle notebook heavy user (never used other resources before).<br>\nHow about doing experiment with 256x256 images or smaller model (ex: ResNet18)?</p>",
      "rawMarkdown": "I'm a Kaggle notebook heavy user (never used other resources before).\nHow about doing experiment with 256x256 images or smaller model (ex: ResNet18)?",
      "votes": null
    },
    {
      "id": "1316403",
      "postDate": "05/20/2021 14:09:07",
      "content": "<p>Thankyou so much <a href=\"https://www.kaggle.com/drtausamaru\" target=\"_blank\">@drtausamaru</a> that's really helpful. I will try with scaled-down version and share results here :-)</p>",
      "rawMarkdown": "Thankyou so much @drtausamaru that's really helpful. I will try with scaled-down version and share results here :-)",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1316172,
      "author_name": "olaf2000",
      "author_url": "",
      "post_date": "05/20/2021 10:59:14",
      "content": "<p>I am also wondering whether to join the competition if the lack of sufficient computational resources can be a big obstacle.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1316373,
      "author_name": "drtausamaru",
      "author_url": "",
      "post_date": "05/20/2021 13:48:36",
      "content": "<p>I'm a Kaggle notebook heavy user (never used other resources before).<br>\nHow about doing experiment with 256x256 images or smaller model (ex: ResNet18)?</p>",
      "votes": null,
      "replies": [
        {
          "id": 1316403,
          "author_name": "abhilashreddyy",
          "author_url": "",
          "post_date": "05/20/2021 14:09:07",
          "content": "<p>Thankyou so much <a href=\"https://www.kaggle.com/drtausamaru\" target=\"_blank\">@drtausamaru</a> that's really helpful. I will try with scaled-down version and share results here :-)</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1316046": "Is it possible that someone (like a student) can do this completely just depending on online computing support like Kaggle and colab .\n\nIf yes please post your solutions it would be really helpful for students and beginners",
    "1316172": "I am also wondering whether to join the competition if the lack of sufficient computational resources can be a big obstacle.",
    "1316373": "I'm a Kaggle notebook heavy user (never used other resources before).\nHow about doing experiment with 256x256 images or smaller model (ex: ResNet18)?",
    "1316403": "Thankyou so much @drtausamaru that's really helpful. I will try with scaled-down version and share results here :-)"
  },
  "source": "meta"
}