{
  "id": 205425,
  "title": "How much importance for multi attention efficientnet for RANZCR?",
  "url": "/competitions/ranzcr-clip-catheter-line-classification/discussion/205425",
  "author_name": "AIFahim",
  "post_date": "2020-12-20T05:55:20.928000",
  "votes": 2,
  "comment_count": 0,
  "views": 0,
  "content": "<p>A few days ago <a href=\"https://www.kaggle.com/M.Innat\" target=\"_blank\">@M.Innat</a> published a  notebook for multi attention efficientnet based notebook. Which is : <br>\n<a href=\"https://www.kaggle.com/ipythonx/tf-keras-ranzcr-multi-attention-efficientnet\" target=\"_blank\">Ranzcr Multi Attention EfficientNet</a></p>\n<p>Can anyone explain how much important for use of Multi Attention EfficientNet?</p>\n<h4>Thanks in Advance.</h4>",
  "messages": [
    {
      "id": 1119504,
      "postDate": "2020-12-20T05:55:20.930Z",
      "content": "<p>A few days ago <a href=\"https://www.kaggle.com/M.Innat\" target=\"_blank\">@M.Innat</a> published a  notebook for multi attention efficientnet based notebook. Which is : <br>\n<a href=\"https://www.kaggle.com/ipythonx/tf-keras-ranzcr-multi-attention-efficientnet\" target=\"_blank\">Ranzcr Multi Attention EfficientNet</a></p>\n<p>Can anyone explain how much important for use of Multi Attention EfficientNet?</p>\n<h4>Thanks in Advance.</h4>",
      "rawMarkdown": "A few days ago @M.Innat published a  notebook for multi attention efficientnet based notebook. Which is : \n[Ranzcr Multi Attention EfficientNet](https://www.kaggle.com/ipythonx/tf-keras-ranzcr-multi-attention-efficientnet)\n\n  Can anyone explain how much important for use of Multi Attention EfficientNet?\n####   Thanks in Advance. \n"
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1119504": "A few days ago @M.Innat published a  notebook for multi attention efficientnet based notebook. Which is : \n[Ranzcr Multi Attention EfficientNet](https://www.kaggle.com/ipythonx/tf-keras-ranzcr-multi-attention-efficientnet)\n\n  Can anyone explain how much important for use of Multi Attention EfficientNet?\n####   Thanks in Advance. \n"
  }
}