{
  "id": 124179,
  "title": "Notebook Timeout Error",
  "url": "/competitions/bengaliai-cv19/discussion/124179",
  "author_name": "",
  "post_date": "2020-01-02T12:42:48.372872700Z",
  "votes": null,
  "comment_count": 4,
  "views": 0,
  "content": "<p>I trained using only one single model in 128 x 128 images. But I repeatedly get timeout error. Any help?</p>",
  "messages": [
    {
      "id": "708568",
      "postDate": "01/02/2020 12:42:48",
      "content": "<p>I trained using only one single model in 128 x 128 images. But I repeatedly get timeout error. Any help?</p>",
      "rawMarkdown": "I trained using only one single model in 128 x 128 images. But I repeatedly get timeout error. Any help?",
      "votes": null
    },
    {
      "id": "708584",
      "postDate": "01/02/2020 12:59:07",
      "content": "<p>Please optimize the code, if you don't mind, you can post prediction code snippets. Maybe we can find a clue</p>",
      "rawMarkdown": "Please optimize the code, if you don't mind, you can post prediction code snippets. Maybe we can find a clue",
      "votes": null
    },
    {
      "id": "710754",
      "postDate": "01/05/2020 07:04:31",
      "content": "<p>Hi Karan, \nAs soon as you are finished using object reclaim the memory using gc.collect()</p>\n\n<p>I optimized my code using the same strategy. </p>\n\n<p>you can find detail in this link \n<a href=\"https://www.kaggle.com/c/bengaliai-cv19/discussion/124221\">https://www.kaggle.com/c/bengaliai-cv19/discussion/124221</a></p>",
      "rawMarkdown": "Hi Karan, \nAs soon as you are finished using object reclaim the memory using gc.collect()\n\nI optimized my code using the same strategy. \n\nyou can find detail in this link \nhttps://www.kaggle.com/c/bengaliai-cv19/discussion/124221",
      "votes": null
    },
    {
      "id": "714293",
      "postDate": "01/09/2020 09:21:57",
      "content": "<p>Thanks for the reply. I increased to 128. It worked.</p>",
      "rawMarkdown": "Thanks for the reply. I increased to 128. It worked.",
      "votes": null
    },
    {
      "id": "714294",
      "postDate": "01/09/2020 09:22:21",
      "content": "<p>Hi. It worked by increasing the batch size.</p>",
      "rawMarkdown": "Hi. It worked by increasing the batch size.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 708584,
      "author_name": "zhangeng",
      "author_url": "",
      "post_date": "01/02/2020 12:59:07",
      "content": "<p>Please optimize the code, if you don't mind, you can post prediction code snippets. Maybe we can find a clue</p>",
      "votes": null,
      "replies": [
        {
          "id": 714293,
          "author_name": "karan07",
          "author_url": "",
          "post_date": "01/09/2020 09:21:57",
          "content": "<p>Thanks for the reply. I increased to 128. It worked.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 710754,
      "author_name": "amit9484",
      "author_url": "",
      "post_date": "01/05/2020 07:04:31",
      "content": "<p>Hi Karan, \nAs soon as you are finished using object reclaim the memory using gc.collect()</p>\n\n<p>I optimized my code using the same strategy. </p>\n\n<p>you can find detail in this link \n<a href=\"https://www.kaggle.com/c/bengaliai-cv19/discussion/124221\">https://www.kaggle.com/c/bengaliai-cv19/discussion/124221</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 714294,
          "author_name": "karan07",
          "author_url": "",
          "post_date": "01/09/2020 09:22:21",
          "content": "<p>Hi. It worked by increasing the batch size.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "708568": "I trained using only one single model in 128 x 128 images. But I repeatedly get timeout error. Any help?",
    "708584": "Please optimize the code, if you don't mind, you can post prediction code snippets. Maybe we can find a clue",
    "710754": "Hi Karan, \nAs soon as you are finished using object reclaim the memory using gc.collect()\n\nI optimized my code using the same strategy. \n\nyou can find detail in this link \nhttps://www.kaggle.com/c/bengaliai-cv19/discussion/124221",
    "714293": "Thanks for the reply. I increased to 128. It worked.",
    "714294": "Hi. It worked by increasing the batch size."
  },
  "source": "meta"
}