{
  "id": 418595,
  "title": "The Starter Notebook is out! 💥",
  "url": "/competitions/dlsprint2/discussion/418595",
  "author_name": "",
  "post_date": "2023-06-21T13:31:53.278724200Z",
  "votes": 3,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hello Sprinters, <br>\nAs promised, the first starter notebook is now public. It uses a library called <code>detectron2</code> that can serve as your anchor if you want to explore different models, approaches, and augmentations. </p>\n<p><strong>Beginners</strong>, to make your first submission, you can go to the <strong>Output</strong> tab of <a href=\"https://www.kaggle.com/code/salmankhondker/starter-notebook-dl-sprint-2-0?scriptVersionId=134365096\" target=\"_blank\">this</a> notebook, and submit the <code>submission.csv</code> file. <em>Heads up: The submission takes quite some time to process</em>. </p>\n<p>You can find the basic training and inference code in the notebook. <code>Copy and Edit</code> and run this notebook on your own. Explore and extend. It may seem daunting at first if you have no prior experience - but push through, and feel free to ask questions, we're here to help. </p>\n<p>There will be 3 workshops for the participants. The beginner's intro to deep learning is coming up soon. Keep an eye out on the Facebook <a href=\"https://www.facebook.com/events/1882607365439555\" target=\"_blank\">event page</a>. </p>\n<p>Good luck with your sprint! </p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F10747121%2F4f3d3e2208c7de7e4e53fae928ca0201%2Fdune.jpg?generation=1687353869450224&amp;alt=media\" alt=\"\"></p>",
  "messages": [
    {
      "id": "2311838",
      "postDate": "06/21/2023 13:31:53",
      "content": "<p>Hello Sprinters, <br>\nAs promised, the first starter notebook is now public. It uses a library called <code>detectron2</code> that can serve as your anchor if you want to explore different models, approaches, and augmentations. </p>\n<p><strong>Beginners</strong>, to make your first submission, you can go to the <strong>Output</strong> tab of <a href=\"https://www.kaggle.com/code/salmankhondker/starter-notebook-dl-sprint-2-0?scriptVersionId=134365096\" target=\"_blank\">this</a> notebook, and submit the <code>submission.csv</code> file. <em>Heads up: The submission takes quite some time to process</em>. </p>\n<p>You can find the basic training and inference code in the notebook. <code>Copy and Edit</code> and run this notebook on your own. Explore and extend. It may seem daunting at first if you have no prior experience - but push through, and feel free to ask questions, we're here to help. </p>\n<p>There will be 3 workshops for the participants. The beginner's intro to deep learning is coming up soon. Keep an eye out on the Facebook <a href=\"https://www.facebook.com/events/1882607365439555\" target=\"_blank\">event page</a>. </p>\n<p>Good luck with your sprint! </p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F10747121%2F4f3d3e2208c7de7e4e53fae928ca0201%2Fdune.jpg?generation=1687353869450224&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "Hello Sprinters, \nAs promised, the first starter notebook is now public. It uses a library called `detectron2` that can serve as your anchor if you want to explore different models, approaches, and augmentations. \n\n**Beginners**, to make your first submission, you can go to the **Output** tab of [this](https://www.kaggle.com/code/salmankhondker/starter-notebook-dl-sprint-2-0?scriptVersionId=134365096) notebook, and submit the `submission.csv` file. *Heads up: The submission takes quite some time to process*. \n\nYou can find the basic training and inference code in the notebook. `Copy and Edit` and run this notebook on your own. Explore and extend. It may seem daunting at first if you have no prior experience - but push through, and feel free to ask questions, we're here to help. \n\nThere will be 3 workshops for the participants. The beginner's intro to deep learning is coming up soon. Keep an eye out on the Facebook [event page](https://www.facebook.com/events/1882607365439555). \n\nGood luck with your sprint! \n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F10747121%2F4f3d3e2208c7de7e4e53fae928ca0201%2Fdune.jpg?generation=1687353869450224&alt=media)",
      "votes": null
    },
    {
      "id": "2311914",
      "postDate": "06/21/2023 14:26:09",
      "content": "<p>\" Keep an eye out on the Facebook event page.\" - could you please share the Facebook event page?</p>",
      "rawMarkdown": "\" Keep an eye out on the Facebook event page.\" - could you please share the Facebook event page?",
      "votes": null
    },
    {
      "id": "2311929",
      "postDate": "06/21/2023 14:40:11",
      "content": "<blockquote>\n  <p>\" Keep an eye out on the Facebook event page.\" - could you please share the Facebook event page?</p>\n</blockquote>\n<p><a href=\"https://www.facebook.com/events/1882607365439555\" target=\"_blank\">https://www.facebook.com/events/1882607365439555</a></p>",
      "rawMarkdown": "> \" Keep an eye out on the Facebook event page.\" - could you please share the Facebook event page?\n\nhttps://www.facebook.com/events/1882607365439555",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2311914,
      "author_name": "mdalimranabir",
      "author_url": "",
      "post_date": "06/21/2023 14:26:09",
      "content": "<p>\" Keep an eye out on the Facebook event page.\" - could you please share the Facebook event page?</p>",
      "votes": null,
      "replies": [
        {
          "id": 2311929,
          "author_name": "salmankhondker",
          "author_url": "",
          "post_date": "06/21/2023 14:40:11",
          "content": "<blockquote>\n  <p>\" Keep an eye out on the Facebook event page.\" - could you please share the Facebook event page?</p>\n</blockquote>\n<p><a href=\"https://www.facebook.com/events/1882607365439555\" target=\"_blank\">https://www.facebook.com/events/1882607365439555</a></p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2311838": "Hello Sprinters, \nAs promised, the first starter notebook is now public. It uses a library called `detectron2` that can serve as your anchor if you want to explore different models, approaches, and augmentations. \n\n**Beginners**, to make your first submission, you can go to the **Output** tab of [this](https://www.kaggle.com/code/salmankhondker/starter-notebook-dl-sprint-2-0?scriptVersionId=134365096) notebook, and submit the `submission.csv` file. *Heads up: The submission takes quite some time to process*. \n\nYou can find the basic training and inference code in the notebook. `Copy and Edit` and run this notebook on your own. Explore and extend. It may seem daunting at first if you have no prior experience - but push through, and feel free to ask questions, we're here to help. \n\nThere will be 3 workshops for the participants. The beginner's intro to deep learning is coming up soon. Keep an eye out on the Facebook [event page](https://www.facebook.com/events/1882607365439555). \n\nGood luck with your sprint! \n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F10747121%2F4f3d3e2208c7de7e4e53fae928ca0201%2Fdune.jpg?generation=1687353869450224&alt=media)",
    "2311914": "\" Keep an eye out on the Facebook event page.\" - could you please share the Facebook event page?",
    "2311929": "> \" Keep an eye out on the Facebook event page.\" - could you please share the Facebook event page?\n\nhttps://www.facebook.com/events/1882607365439555"
  },
  "source": "meta"
}