{
  "id": 106495,
  "title": "Just Curious",
  "url": "/competitions/aptos2019-blindness-detection/discussion/106495",
  "author_name": "",
  "post_date": "2019-08-29T17:59:17.623643900Z",
  "votes": 4,
  "comment_count": 13,
  "views": 0,
  "content": "<p>Hi,  Anyone using keras and having LB above 0.81 single model ?</p>",
  "messages": [
    {
      "id": "612306",
      "postDate": "08/29/2019 17:59:17",
      "content": "<p>Hi,  Anyone using keras and having LB above 0.81 single model ?</p>",
      "rawMarkdown": "Hi,  Anyone using keras and having LB above 0.81 single model ?",
      "votes": null
    },
    {
      "id": "612871",
      "postDate": "08/30/2019 03:55:51",
      "content": "<p>hi, i use tf.keras and my best single model (5 fold average) obtain 85.2 on LB</p>",
      "rawMarkdown": "hi, i use tf.keras and my best single model (5 fold average) obtain 85.2 on LB",
      "votes": null
    },
    {
      "id": "612885",
      "postDate": "08/30/2019 04:07:39",
      "content": "<p>wow</p>",
      "rawMarkdown": "wow",
      "votes": null
    },
    {
      "id": "612890",
      "postDate": "08/30/2019 04:17:18",
      "content": "<p>That's cool!</p>",
      "rawMarkdown": "That's cool!",
      "votes": null
    },
    {
      "id": "612899",
      "postDate": "08/30/2019 04:36:01",
      "content": "<p>To confirm that Keras is not inferior to Pytorch in this competition, my pure keras single model, having completely different training process than my great teammate <a href=\"/dathudeptrai\">@dathudeptrai</a> \"Nguyen Quan Anh Minh\" also got .844 LB ... </p>\n\n<p>I cannot give a training process details until the end of the competition, but if it manages to get a good Private score also [hopefully, this is true], I will write it up in details. (Already hinted a lot in my kernels &amp; discussions though ;)</p>\n\n<p>I answer this topic because in the previous competition, I usually asked this kind of question too :)</p>",
      "rawMarkdown": "To confirm that Keras is not inferior to Pytorch in this competition, my pure keras single model, having completely different training process than my great teammate @dathudeptrai \"Nguyen Quan Anh Minh\" also got .844 LB ... \n\nI cannot give a training process details until the end of the competition, but if it manages to get a good Private score also [hopefully, this is true], I will write it up in details. (Already hinted a lot in my kernels &amp; discussions though ;)\n\nI answer this topic because in the previous competition, I usually asked this kind of question too :)",
      "votes": null
    },
    {
      "id": "612906",
      "postDate": "08/30/2019 04:44:09",
      "content": "<p>WOW! Lot to learn from you guys <a href=\"/ratthachat\">@ratthachat</a>  <a href=\"/dathudeptrai\">@dathudeptrai</a> </p>",
      "rawMarkdown": "WOW! Lot to learn from you guys @ratthachat  @dathudeptrai",
      "votes": null
    },
    {
      "id": "612957",
      "postDate": "08/30/2019 05:43:11",
      "content": "<p>wow +1</p>",
      "rawMarkdown": "wow +1",
      "votes": null
    },
    {
      "id": "613006",
      "postDate": "08/30/2019 06:47:02",
      "content": "<p>this also means you still did not ensemble :)</p>",
      "rawMarkdown": "this also means you still did not ensemble :)",
      "votes": null
    },
    {
      "id": "613968",
      "postDate": "08/31/2019 01:26:42",
      "content": "<p>hey, <a href=\"/garybios\">@garybios</a> , I notice you  improved a lot in recent days, can you share some tricks?</p>",
      "rawMarkdown": "hey, @garybios , I notice you  improved a lot in recent days, can you share some tricks?",
      "votes": null
    },
    {
      "id": "614093",
      "postDate": "08/31/2019 04:18:45",
      "content": "<p><a href=\"/garybios\">@garybios</a> is already a very strong and highly experienced kaggler (much better than I am as I participated many competitions with him) … So, I am not surprised at all of his performance :)</p>",
      "rawMarkdown": "garybios is already a very strong and highly experienced kaggler (much better than I am as I participated many competitions with him) … So, I am not surprised at all of his performance :)",
      "votes": null
    },
    {
      "id": "614113",
      "postDate": "08/31/2019 05:04:06",
      "content": "<p><a href=\"/hustkevin1037\">@hustkevin1037</a> <a href=\"/ratthachat\">@ratthachat</a> I met some strange problems this competition, so the public lb may  not be trusted. </p>",
      "rawMarkdown": "hustkevin1037 @ratthachat I met some strange problems this competition, so the public lb may  not be trusted.",
      "votes": null
    },
    {
      "id": "614251",
      "postDate": "08/31/2019 08:57:14",
      "content": "<p><a href=\"/garybios\">@garybios</a> what problems? Am i wrong if I say that you mainly improved with ensemble? Also did you find useful any of the tricks others shared here in discussion?</p>",
      "rawMarkdown": "garybios what problems? Am i wrong if I say that you mainly improved with ensemble? Also did you find useful any of the tricks others shared here in discussion?",
      "votes": null
    },
    {
      "id": "614394",
      "postDate": "08/31/2019 12:37:02",
      "content": "<p><a href=\"/garybios\">@garybios</a> what's your highest performance of single model? </p>",
      "rawMarkdown": "garybios what's your highest performance of single model?",
      "votes": null
    },
    {
      "id": "615405",
      "postDate": "09/01/2019 22:05:06",
      "content": "<p>Is there any substantial difference between keras and tf.keras?</p>",
      "rawMarkdown": "Is there any substantial difference between keras and tf.keras?",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 612871,
      "author_name": "dathudeptrai",
      "author_url": "",
      "post_date": "08/30/2019 03:55:51",
      "content": "<p>hi, i use tf.keras and my best single model (5 fold average) obtain 85.2 on LB</p>",
      "votes": null,
      "replies": [
        {
          "id": 612885,
          "author_name": "buaazijian",
          "author_url": "",
          "post_date": "08/30/2019 04:07:39",
          "content": "<p>wow</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 612890,
          "author_name": "seefun",
          "author_url": "",
          "post_date": "08/30/2019 04:17:18",
          "content": "<p>That's cool!</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 612906,
          "author_name": "virajbagal",
          "author_url": "",
          "post_date": "08/30/2019 04:44:09",
          "content": "<p>WOW! Lot to learn from you guys <a href=\"/ratthachat\">@ratthachat</a>  <a href=\"/dathudeptrai\">@dathudeptrai</a> </p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 612957,
          "author_name": "garybios",
          "author_url": "",
          "post_date": "08/30/2019 05:43:11",
          "content": "<p>wow +1</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 613006,
          "author_name": "valanm",
          "author_url": "",
          "post_date": "08/30/2019 06:47:02",
          "content": "<p>this also means you still did not ensemble :)</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 613968,
          "author_name": "hustkevin1037",
          "author_url": "",
          "post_date": "08/31/2019 01:26:42",
          "content": "<p>hey, <a href=\"/garybios\">@garybios</a> , I notice you  improved a lot in recent days, can you share some tricks?</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 614093,
          "author_name": "ratthachat",
          "author_url": "",
          "post_date": "08/31/2019 04:18:45",
          "content": "<p><a href=\"/garybios\">@garybios</a> is already a very strong and highly experienced kaggler (much better than I am as I participated many competitions with him) … So, I am not surprised at all of his performance :)</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 614113,
          "author_name": "garybios",
          "author_url": "",
          "post_date": "08/31/2019 05:04:06",
          "content": "<p><a href=\"/hustkevin1037\">@hustkevin1037</a> <a href=\"/ratthachat\">@ratthachat</a> I met some strange problems this competition, so the public lb may  not be trusted. </p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 614251,
          "author_name": "valanm",
          "author_url": "",
          "post_date": "08/31/2019 08:57:14",
          "content": "<p><a href=\"/garybios\">@garybios</a> what problems? Am i wrong if I say that you mainly improved with ensemble? Also did you find useful any of the tricks others shared here in discussion?</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 614394,
          "author_name": "hustkevin1037",
          "author_url": "",
          "post_date": "08/31/2019 12:37:02",
          "content": "<p><a href=\"/garybios\">@garybios</a> what's your highest performance of single model? </p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 615405,
          "author_name": "masterm4",
          "author_url": "",
          "post_date": "09/01/2019 22:05:06",
          "content": "<p>Is there any substantial difference between keras and tf.keras?</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 612899,
      "author_name": "ratthachat",
      "author_url": "",
      "post_date": "08/30/2019 04:36:01",
      "content": "<p>To confirm that Keras is not inferior to Pytorch in this competition, my pure keras single model, having completely different training process than my great teammate <a href=\"/dathudeptrai\">@dathudeptrai</a> \"Nguyen Quan Anh Minh\" also got .844 LB ... </p>\n\n<p>I cannot give a training process details until the end of the competition, but if it manages to get a good Private score also [hopefully, this is true], I will write it up in details. (Already hinted a lot in my kernels &amp; discussions though ;)</p>\n\n<p>I answer this topic because in the previous competition, I usually asked this kind of question too :)</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "612306": "Hi,  Anyone using keras and having LB above 0.81 single model ?",
    "612871": "hi, i use tf.keras and my best single model (5 fold average) obtain 85.2 on LB",
    "612885": "wow",
    "612890": "That's cool!",
    "612899": "To confirm that Keras is not inferior to Pytorch in this competition, my pure keras single model, having completely different training process than my great teammate @dathudeptrai \"Nguyen Quan Anh Minh\" also got .844 LB ... \n\nI cannot give a training process details until the end of the competition, but if it manages to get a good Private score also [hopefully, this is true], I will write it up in details. (Already hinted a lot in my kernels &amp; discussions though ;)\n\nI answer this topic because in the previous competition, I usually asked this kind of question too :)",
    "612906": "WOW! Lot to learn from you guys @ratthachat  @dathudeptrai",
    "612957": "wow +1",
    "613006": "this also means you still did not ensemble :)",
    "613968": "hey, @garybios , I notice you  improved a lot in recent days, can you share some tricks?",
    "614093": "garybios is already a very strong and highly experienced kaggler (much better than I am as I participated many competitions with him) … So, I am not surprised at all of his performance :)",
    "614113": "hustkevin1037 @ratthachat I met some strange problems this competition, so the public lb may  not be trusted.",
    "614251": "garybios what problems? Am i wrong if I say that you mainly improved with ensemble? Also did you find useful any of the tricks others shared here in discussion?",
    "614394": "garybios what's your highest performance of single model?",
    "615405": "Is there any substantial difference between keras and tf.keras?"
  },
  "source": "meta"
}