{
  "id": 95380,
  "title": "pytorch finetuning tutorial + competition code",
  "url": "/competitions/imet-2019-fgvc6/discussion/95380",
  "author_name": "",
  "post_date": "2019-06-11T21:19:14.417302700Z",
  "votes": 27,
  "comment_count": 8,
  "views": 0,
  "content": "<p>I wrote a tutorial on how to do fine-tuning using pytorch and this competition’s data: <a href=\"https://medium.com/@abhishekkrthakur/fine-tuning-for-image-classification-using-pytorch-81e77d125646\">https://medium.com/@abhishekkrthakur/fine-tuning-for-image-classification-using-pytorch-81e77d125646</a></p>\n\n<p>You can also find the code used by us for this competition here: <a href=\"https://github.com/abhishekkrthakur/imet-collection\">https://github.com/abhishekkrthakur/imet-collection</a></p>\n\n<p>i hope you find it useful :)</p>",
  "messages": [
    {
      "id": "550640",
      "postDate": "06/11/2019 21:19:14",
      "content": "<p>I wrote a tutorial on how to do fine-tuning using pytorch and this competition’s data: <a href=\"https://medium.com/@abhishekkrthakur/fine-tuning-for-image-classification-using-pytorch-81e77d125646\">https://medium.com/@abhishekkrthakur/fine-tuning-for-image-classification-using-pytorch-81e77d125646</a></p>\n\n<p>You can also find the code used by us for this competition here: <a href=\"https://github.com/abhishekkrthakur/imet-collection\">https://github.com/abhishekkrthakur/imet-collection</a></p>\n\n<p>i hope you find it useful :)</p>",
      "rawMarkdown": "I wrote a tutorial on how to do fine-tuning using pytorch and this competition’s data: https://medium.com/@abhishekkrthakur/fine-tuning-for-image-classification-using-pytorch-81e77d125646\n\nYou can also find the code used by us for this competition here: https://github.com/abhishekkrthakur/imet-collection\n\ni hope you find it useful :)",
      "votes": null
    },
    {
      "id": "550688",
      "postDate": "06/11/2019 23:38:46",
      "content": "<p>Thanks for writing this and for your generally excellent examples of elegant code!</p>",
      "rawMarkdown": "Thanks for writing this and for your generally excellent examples of elegant code!",
      "votes": null
    },
    {
      "id": "551805",
      "postDate": "06/13/2019 06:10:48",
      "content": "<p>Thanks！</p>",
      "rawMarkdown": "Thanks！",
      "votes": null
    },
    {
      "id": "552073",
      "postDate": "06/13/2019 13:26:00",
      "content": "<p>Thanks, useful for a newbie like me!</p>",
      "rawMarkdown": "Thanks, useful for a newbie like me!",
      "votes": null
    },
    {
      "id": "552554",
      "postDate": "06/14/2019 05:58:35",
      "content": "<p>Many thanks! :-)</p>",
      "rawMarkdown": "Many thanks! :-)",
      "votes": null
    },
    {
      "id": "553628",
      "postDate": "06/16/2019 03:24:42",
      "content": "<p>A perfect Introduction about pytorch , i was looking for something similar thanks for writing it out. I have one more question how do you explore so many libraries like, you said you are tf and keras fan then how do you go out of your way to learn pytorch ,kekas , fastAI or any such library for a problem at hand ?. or have you learnt all of it first hand and then decide this is to be done through this library</p>",
      "rawMarkdown": "A perfect Introduction about pytorch , i was looking for something similar thanks for writing it out. I have one more question how do you explore so many libraries like, you said you are tf and keras fan then how do you go out of your way to learn pytorch ,kekas , fastAI or any such library for a problem at hand ?. or have you learnt all of it first hand and then decide this is to be done through this library",
      "votes": null
    },
    {
      "id": "553791",
      "postDate": "06/16/2019 10:53:46",
      "content": "<p>Thank You for interesting intro to pytorch </p>",
      "rawMarkdown": "Thank You for interesting intro to pytorch",
      "votes": null
    },
    {
      "id": "553801",
      "postDate": "06/16/2019 11:17:32",
      "content": "<p>Thanks !!!</p>",
      "rawMarkdown": "Thanks !!!",
      "votes": null
    },
    {
      "id": "553993",
      "postDate": "06/16/2019 18:08:43",
      "content": "<p>Thanks for sharing! it would be really good if more experienced people took some time to do tutorials like this.</p>",
      "rawMarkdown": "Thanks for sharing! it would be really good if more experienced people took some time to do tutorials like this.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 550688,
      "author_name": "interneuron",
      "author_url": "",
      "post_date": "06/11/2019 23:38:46",
      "content": "<p>Thanks for writing this and for your generally excellent examples of elegant code!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 551805,
      "author_name": "timmmmmms",
      "author_url": "",
      "post_date": "06/13/2019 06:10:48",
      "content": "<p>Thanks！</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 552073,
      "author_name": "guiyuan320",
      "author_url": "",
      "post_date": "06/13/2019 13:26:00",
      "content": "<p>Thanks, useful for a newbie like me!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 552554,
      "author_name": "projdev",
      "author_url": "",
      "post_date": "06/14/2019 05:58:35",
      "content": "<p>Many thanks! :-)</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 553628,
      "author_name": "gunishj",
      "author_url": "",
      "post_date": "06/16/2019 03:24:42",
      "content": "<p>A perfect Introduction about pytorch , i was looking for something similar thanks for writing it out. I have one more question how do you explore so many libraries like, you said you are tf and keras fan then how do you go out of your way to learn pytorch ,kekas , fastAI or any such library for a problem at hand ?. or have you learnt all of it first hand and then decide this is to be done through this library</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 553791,
      "author_name": "crysialucifer",
      "author_url": "",
      "post_date": "06/16/2019 10:53:46",
      "content": "<p>Thank You for interesting intro to pytorch </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 553801,
      "author_name": "adityaecdrid",
      "author_url": "",
      "post_date": "06/16/2019 11:17:32",
      "content": "<p>Thanks !!!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 553993,
      "author_name": "dimitreoliveira",
      "author_url": "",
      "post_date": "06/16/2019 18:08:43",
      "content": "<p>Thanks for sharing! it would be really good if more experienced people took some time to do tutorials like this.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "550640": "I wrote a tutorial on how to do fine-tuning using pytorch and this competition’s data: https://medium.com/@abhishekkrthakur/fine-tuning-for-image-classification-using-pytorch-81e77d125646\n\nYou can also find the code used by us for this competition here: https://github.com/abhishekkrthakur/imet-collection\n\ni hope you find it useful :)",
    "550688": "Thanks for writing this and for your generally excellent examples of elegant code!",
    "551805": "Thanks！",
    "552073": "Thanks, useful for a newbie like me!",
    "552554": "Many thanks! :-)",
    "553628": "A perfect Introduction about pytorch , i was looking for something similar thanks for writing it out. I have one more question how do you explore so many libraries like, you said you are tf and keras fan then how do you go out of your way to learn pytorch ,kekas , fastAI or any such library for a problem at hand ?. or have you learnt all of it first hand and then decide this is to be done through this library",
    "553791": "Thank You for interesting intro to pytorch",
    "553801": "Thanks !!!",
    "553993": "Thanks for sharing! it would be really good if more experienced people took some time to do tutorials like this."
  },
  "source": "meta"
}