{
  "id": 343742,
  "title": "Transfer learning with [TF]",
  "url": "/competitions/mayo-clinic-strip-ai/discussion/343742",
  "author_name": "eda_di1l",
  "post_date": "2022-08-12T11:08:17.718000",
  "votes": 4,
  "comment_count": 3,
  "views": 0,
  "content": "<p>As I suppose, in the competition it's nice to use transfer learning ideas(and it's just simple for begginers too), so I can offer my convnn-based transfer learning model notebook(there you will see some EDA too)<br>\n<a href=\"url\" target=\"_blank\">https://www.kaggle.com/code/edadi1l/transfer-learning-classification-model-tf</a></p>",
  "messages": [
    {
      "id": 1895735,
      "postDate": "2022-08-12T11:08:17.720Z",
      "content": "<p>As I suppose, in the competition it's nice to use transfer learning ideas(and it's just simple for begginers too), so I can offer my convnn-based transfer learning model notebook(there you will see some EDA too)<br>\n<a href=\"url\" target=\"_blank\">https://www.kaggle.com/code/edadi1l/transfer-learning-classification-model-tf</a></p>",
      "rawMarkdown": "As I suppose, in the competition it's nice to use transfer learning ideas(and it's just simple for begginers too), so I can offer my convnn-based transfer learning model notebook(there you will see some EDA too)\n[https://www.kaggle.com/code/edadi1l/transfer-learning-classification-model-tf](url)",
      "votes": 4
    },
    {
      "id": 1896142,
      "postDate": "2022-08-12T16:03:58.203Z",
      "content": "<p>Good work, I am new to this and this is a good learning experience for me!! </p>",
      "rawMarkdown": "Good work, I am new to this and this is a good learning experience for me!! ",
      "votes": 1,
      "replies": [
        {
          "id": 1896216,
          "postDate": "2022-08-12T16:58:30.760Z",
          "content": "<p>Thanks a lot! If you'll find something usefull in it, it would be great pleasure for me! If so, you can make an upvote on notebook so I will see what  can improve :)</p>",
          "rawMarkdown": "Thanks a lot! If you'll find something usefull in it, it would be great pleasure for me! If so, you can make an upvote on notebook so I will see what  can improve :)"
        }
      ]
    },
    {
      "id": 1906442,
      "postDate": "2022-08-19T22:15:29.853Z",
      "content": "<p>Thanks for sharing your code! Secondly, could you provide a little more information on your model? What model did you use? What were your results? etc.</p>\n<p>Thanks!</p>\n<p>The Devastator.</p>",
      "rawMarkdown": "Thanks for sharing your code! Secondly, could you provide a little more information on your model? What model did you use? What were your results? etc.\n\nThanks!\n\nThe Devastator.\n"
    }
  ],
  "comments": [
    {
      "id": 1896142,
      "author_name": "Ravi Ramakrishnan",
      "author_url": "",
      "post_date": "2022-08-12T16:03:58.203000",
      "content": "<p>Good work, I am new to this and this is a good learning experience for me!! </p>",
      "votes": 1,
      "replies": [
        {
          "id": 1896216,
          "author_name": "eda_di1l",
          "author_url": "",
          "post_date": "2022-08-12T16:58:30.760000",
          "content": "<p>Thanks a lot! If you'll find something usefull in it, it would be great pleasure for me! If so, you can make an upvote on notebook so I will see what  can improve :)</p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 1906442,
      "author_name": "The Devastator",
      "author_url": "",
      "post_date": "2022-08-19T22:15:29.853000",
      "content": "<p>Thanks for sharing your code! Secondly, could you provide a little more information on your model? What model did you use? What were your results? etc.</p>\n<p>Thanks!</p>\n<p>The Devastator.</p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1895735": "As I suppose, in the competition it's nice to use transfer learning ideas(and it's just simple for begginers too), so I can offer my convnn-based transfer learning model notebook(there you will see some EDA too)\n[https://www.kaggle.com/code/edadi1l/transfer-learning-classification-model-tf](url)",
    "1896142": "Good work, I am new to this and this is a good learning experience for me!! ",
    "1906442": "Thanks for sharing your code! Secondly, could you provide a little more information on your model? What model did you use? What were your results? etc.\n\nThanks!\n\nThe Devastator.\n"
  }
}