{
  "id": 99347,
  "title": "pretrained weights",
  "url": "/competitions/aptos2019-blindness-detection/discussion/99347",
  "author_name": "",
  "post_date": "2019-07-10T14:26:52.152248900Z",
  "votes": null,
  "comment_count": 6,
  "views": 0,
  "content": "<p>How to add pretrained weights as the dataset to a kernel</p>",
  "messages": [
    {
      "id": "572142",
      "postDate": "07/10/2019 14:26:52",
      "content": "<p>How to add pretrained weights as the dataset to a kernel</p>",
      "rawMarkdown": "How to add pretrained weights as the dataset to a kernel",
      "votes": null
    },
    {
      "id": "572147",
      "postDate": "07/10/2019 14:35:44",
      "content": "<p>Seriously? Just checkout kaggle datasets for the respective model you are looking for and add it to your kernel...\nOr create your private dataset for your model's weights and upload the file to kaggle servers...</p>",
      "rawMarkdown": "Seriously? Just checkout kaggle datasets for the respective model you are looking for and add it to your kernel...\nOr create your private dataset for your model's weights and upload the file to kaggle servers...",
      "votes": null
    },
    {
      "id": "572335",
      "postDate": "07/10/2019 19:30:03",
      "content": "<p>At this point, you are spamming the competition forums with the same question. Please do not do this.</p>\n\n<p>It seems you are struggling to using Kaggle Kernels and Kaggle Datasets. Before doing anything else, you should read the documentation:\n<a href=\"https://www.kaggle.com/docs/kernels\">https://www.kaggle.com/docs/kernels</a></p>\n\n<p>There is a section on adding data sources:\n<a href=\"https://www.kaggle.com/docs/kernels#adding-data-sources\">https://www.kaggle.com/docs/kernels#adding-data-sources</a></p>\n\n<p>If you want to do this with pytorch, check out <a href=\"/abhishek\">@abhishek</a>'s kernel over <a href=\"https://www.kaggle.com/abhishek/very-simple-pytorch-training-0-59\">here</a>. When starting a competition, it is always best to look at starter kernels other members of the Kaggle community have written.</p>\n\n<p>If you have any questions, please keep them to the same thread, and DO NOT start another post. Starting another post isn't going to make people want to help you. If anything, it will do the opposite. </p>",
      "rawMarkdown": "At this point, you are spamming the competition forums with the same question. Please do not do this.\n\nIt seems you are struggling to using Kaggle Kernels and Kaggle Datasets. Before doing anything else, you should read the documentation:\nhttps://www.kaggle.com/docs/kernels\n\nThere is a section on adding data sources:\nhttps://www.kaggle.com/docs/kernels#adding-data-sources\n\nIf you want to do this with pytorch, check out @abhishek's kernel over [here](https://www.kaggle.com/abhishek/very-simple-pytorch-training-0-59). When starting a competition, it is always best to look at starter kernels other members of the Kaggle community have written.\n\nIf you have any questions, please keep them to the same thread, and DO NOT start another post. Starting another post isn't going to make people want to help you. If anything, it will do the opposite.",
      "votes": null
    },
    {
      "id": "572473",
      "postDate": "07/11/2019 01:29:10",
      "content": "<p>I still can't understand why some people downvote everyone who is asking for help.\nWhen downvoting beginners they would be shy next time to ask any question due to downvoters. This is not how we should behave in community. We are supposed to help each other to develop our skills and help beginners to join the experts and masters and why not grandmasters tier.</p>",
      "rawMarkdown": "I still can't understand why some people downvote everyone who is asking for help.\nWhen downvoting beginners they would be shy next time to ask any question due to downvoters. This is not how we should behave in community. We are supposed to help each other to develop our skills and help beginners to join the experts and masters and why not grandmasters tier.",
      "votes": null
    },
    {
      "id": "572484",
      "postDate": "07/11/2019 01:47:05",
      "content": "<p>That's not problem. The problem is that this person keeps posting the same question over and over again, and I had already responded earlier to the exact same question.</p>",
      "rawMarkdown": "That's not problem. The problem is that this person keeps posting the same question over and over again, and I had already responded earlier to the exact same question.",
      "votes": null
    },
    {
      "id": "572661",
      "postDate": "07/11/2019 08:24:01",
      "content": "<p>If you are using something, we should atleast make an attempt to search the place for the tutorials etc?\nAnd Kaggle really has amazing ones to get comfortable with the platform as well, so one should take a look on it first, isn't?</p>",
      "rawMarkdown": "If you are using something, we should atleast make an attempt to search the place for the tutorials etc?\nAnd Kaggle really has amazing ones to get comfortable with the platform as well, so one should take a look on it first, isn't?",
      "votes": null
    },
    {
      "id": "572805",
      "postDate": "07/11/2019 12:24:22",
      "content": "<p>Nice!</p>",
      "rawMarkdown": "Nice!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 572147,
      "author_name": "adityaecdrid",
      "author_url": "",
      "post_date": "07/10/2019 14:35:44",
      "content": "<p>Seriously? Just checkout kaggle datasets for the respective model you are looking for and add it to your kernel...\nOr create your private dataset for your model's weights and upload the file to kaggle servers...</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 572335,
      "author_name": "tanlikesmath",
      "author_url": "",
      "post_date": "07/10/2019 19:30:03",
      "content": "<p>At this point, you are spamming the competition forums with the same question. Please do not do this.</p>\n\n<p>It seems you are struggling to using Kaggle Kernels and Kaggle Datasets. Before doing anything else, you should read the documentation:\n<a href=\"https://www.kaggle.com/docs/kernels\">https://www.kaggle.com/docs/kernels</a></p>\n\n<p>There is a section on adding data sources:\n<a href=\"https://www.kaggle.com/docs/kernels#adding-data-sources\">https://www.kaggle.com/docs/kernels#adding-data-sources</a></p>\n\n<p>If you want to do this with pytorch, check out <a href=\"/abhishek\">@abhishek</a>'s kernel over <a href=\"https://www.kaggle.com/abhishek/very-simple-pytorch-training-0-59\">here</a>. When starting a competition, it is always best to look at starter kernels other members of the Kaggle community have written.</p>\n\n<p>If you have any questions, please keep them to the same thread, and DO NOT start another post. Starting another post isn't going to make people want to help you. If anything, it will do the opposite. </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 572473,
      "author_name": "rinnqd",
      "author_url": "",
      "post_date": "07/11/2019 01:29:10",
      "content": "<p>I still can't understand why some people downvote everyone who is asking for help.\nWhen downvoting beginners they would be shy next time to ask any question due to downvoters. This is not how we should behave in community. We are supposed to help each other to develop our skills and help beginners to join the experts and masters and why not grandmasters tier.</p>",
      "votes": null,
      "replies": [
        {
          "id": 572484,
          "author_name": "tanlikesmath",
          "author_url": "",
          "post_date": "07/11/2019 01:47:05",
          "content": "<p>That's not problem. The problem is that this person keeps posting the same question over and over again, and I had already responded earlier to the exact same question.</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 572661,
          "author_name": "adityaecdrid",
          "author_url": "",
          "post_date": "07/11/2019 08:24:01",
          "content": "<p>If you are using something, we should atleast make an attempt to search the place for the tutorials etc?\nAnd Kaggle really has amazing ones to get comfortable with the platform as well, so one should take a look on it first, isn't?</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 572805,
      "author_name": "gnomows",
      "author_url": "",
      "post_date": "07/11/2019 12:24:22",
      "content": "<p>Nice!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "572142": "How to add pretrained weights as the dataset to a kernel",
    "572147": "Seriously? Just checkout kaggle datasets for the respective model you are looking for and add it to your kernel...\nOr create your private dataset for your model's weights and upload the file to kaggle servers...",
    "572335": "At this point, you are spamming the competition forums with the same question. Please do not do this.\n\nIt seems you are struggling to using Kaggle Kernels and Kaggle Datasets. Before doing anything else, you should read the documentation:\nhttps://www.kaggle.com/docs/kernels\n\nThere is a section on adding data sources:\nhttps://www.kaggle.com/docs/kernels#adding-data-sources\n\nIf you want to do this with pytorch, check out @abhishek's kernel over [here](https://www.kaggle.com/abhishek/very-simple-pytorch-training-0-59). When starting a competition, it is always best to look at starter kernels other members of the Kaggle community have written.\n\nIf you have any questions, please keep them to the same thread, and DO NOT start another post. Starting another post isn't going to make people want to help you. If anything, it will do the opposite.",
    "572473": "I still can't understand why some people downvote everyone who is asking for help.\nWhen downvoting beginners they would be shy next time to ask any question due to downvoters. This is not how we should behave in community. We are supposed to help each other to develop our skills and help beginners to join the experts and masters and why not grandmasters tier.",
    "572484": "That's not problem. The problem is that this person keeps posting the same question over and over again, and I had already responded earlier to the exact same question.",
    "572661": "If you are using something, we should atleast make an attempt to search the place for the tutorials etc?\nAnd Kaggle really has amazing ones to get comfortable with the platform as well, so one should take a look on it first, isn't?",
    "572805": "Nice!"
  },
  "source": "meta"
}