{
  "id": 255046,
  "title": " My experiments in Keras with EffNet.",
  "url": "/competitions/g2net-gravitational-wave-detection/discussion/255046",
  "author_name": "",
  "post_date": "2021-07-25T09:45:29.642493100Z",
  "votes": 6,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I would like to share my experiments in Keras with EffNetB0 and EffNetB7.<br>\n Version| ------------&gt;LB Score<br>\nTraining|inference    |<br>\nV2         |       V4 |------------&gt; 0.858<br>\nV3       |         V6 |------------&gt;0.841<br>\nV4       |         V7 | ------------&gt; 0.855<br>\nV5        |       V8  | ------------&gt; 0.857<br>\nV6         |      V9  | ------------&gt; 0.835<br>\nV7        |       V10 |------------&gt;0.853<br>\nV8         |      V11  |------------&gt;0.858<br>\nV9       |        V12  | ------------&gt;0.862<br>\nV10         |     V13  |------------&gt;0.863<br>\nV11         |     V14   | ------------&gt;0.863<br>\nV12       |       V15   |------------&gt;0.865<br>\nV13         |     V16   | ------------&gt; 0.864</p>\n<p>G2Net Keras [Training]<br>\nG2Net Keras [Inference]</p>\n<p>Thanks and Regards,<br>\nAmmar</p>",
  "messages": [
    {
      "id": "1399428",
      "postDate": "07/25/2021 09:45:29",
      "content": "<p>I would like to share my experiments in Keras with EffNetB0 and EffNetB7.<br>\n Version| ------------&gt;LB Score<br>\nTraining|inference    |<br>\nV2         |       V4 |------------&gt; 0.858<br>\nV3       |         V6 |------------&gt;0.841<br>\nV4       |         V7 | ------------&gt; 0.855<br>\nV5        |       V8  | ------------&gt; 0.857<br>\nV6         |      V9  | ------------&gt; 0.835<br>\nV7        |       V10 |------------&gt;0.853<br>\nV8         |      V11  |------------&gt;0.858<br>\nV9       |        V12  | ------------&gt;0.862<br>\nV10         |     V13  |------------&gt;0.863<br>\nV11         |     V14   | ------------&gt;0.863<br>\nV12       |       V15   |------------&gt;0.865<br>\nV13         |     V16   | ------------&gt; 0.864</p>\n<p>G2Net Keras [Training]<br>\nG2Net Keras [Inference]</p>\n<p>Thanks and Regards,<br>\nAmmar</p>",
      "rawMarkdown": "I would like to share my experiments in Keras with EffNetB0 and EffNetB7.\n Version| ------------>LB Score\nTraining|inference\t|\nV2\t     |       V4\t|------------> 0.858\nV3\t   |         V6\t|------------>0.841\nV4\t   |         V7\t| ------------> 0.855\nV5\t    |       V8\t| ------------> 0.857\nV6\t     |      V9\t| ------------> 0.835\nV7\t    |       V10\t|------------>0.853\nV8\t     |      V11\t |------------>0.858\nV9\t   |        V12\t | ------------>0.862\nV10\t     |     V13\t|------------>0.863\nV11\t     |     V14\t | ------------>0.863\nV12\t   |       V15\t |------------>0.865\nV13\t     |     V16\t | ------------> 0.864\n\nG2Net Keras [Training]\nG2Net Keras [Inference]\n\nThanks and Regards,\nAmmar",
      "votes": null
    },
    {
      "id": "1561279",
      "postDate": "10/27/2021 13:11:57",
      "content": "<p>Hey All,</p>\n<p>Thank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey <a href=\"https://forms.gle/QP9L16niPexozyhu5\" target=\"_blank\">https://forms.gle/QP9L16niPexozyhu5</a>.</p>\n<p>Thank you all,</p>\n<p>Regards,<br>\nChris</p>",
      "rawMarkdown": "Hey All,\n\nThank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey https://forms.gle/QP9L16niPexozyhu5.\n\nThank you all,\n\nRegards,\nChris",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1561279,
      "author_name": "zerafachris",
      "author_url": "",
      "post_date": "10/27/2021 13:11:57",
      "content": "<p>Hey All,</p>\n<p>Thank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey <a href=\"https://forms.gle/QP9L16niPexozyhu5\" target=\"_blank\">https://forms.gle/QP9L16niPexozyhu5</a>.</p>\n<p>Thank you all,</p>\n<p>Regards,<br>\nChris</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1399428": "I would like to share my experiments in Keras with EffNetB0 and EffNetB7.\n Version| ------------>LB Score\nTraining|inference\t|\nV2\t     |       V4\t|------------> 0.858\nV3\t   |         V6\t|------------>0.841\nV4\t   |         V7\t| ------------> 0.855\nV5\t    |       V8\t| ------------> 0.857\nV6\t     |      V9\t| ------------> 0.835\nV7\t    |       V10\t|------------>0.853\nV8\t     |      V11\t |------------>0.858\nV9\t   |        V12\t | ------------>0.862\nV10\t     |     V13\t|------------>0.863\nV11\t     |     V14\t | ------------>0.863\nV12\t   |       V15\t |------------>0.865\nV13\t     |     V16\t | ------------> 0.864\n\nG2Net Keras [Training]\nG2Net Keras [Inference]\n\nThanks and Regards,\nAmmar",
    "1561279": "Hey All,\n\nThank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey https://forms.gle/QP9L16niPexozyhu5.\n\nThank you all,\n\nRegards,\nChris"
  },
  "source": "meta"
}