{
  "id": 472296,
  "title": "where can the files in <tf-efficientnet-imagenet-weights> and <tf-efficientnet-whl-files> be found?",
  "url": "/competitions/hms-harmful-brain-activity-classification/discussion/472296",
  "author_name": "",
  "post_date": "2024-01-31T14:55:03.920803400Z",
  "votes": 3,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hi - I'm trying to reconstruct Chris Deotte's (<a href=\"https://www.kaggle.com/cdeotte\" target=\"_blank\">https://www.kaggle.com/cdeotte</a>) awesome EfficientNet Starter notebook.  I added the 2 datasets required for the spectrogram  processing  and .  Now I'm trying find the EfficientNet pre-loaded weights seen in Chris's Kaggle/input  directory as well as the \"whl\" files which appear to be particular versions of various python &amp; packages .  It'd be greatly appreciated if you might point me in the right direction.  Thanks, Matthew</p>",
  "messages": [
    {
      "id": "2628953",
      "postDate": "01/31/2024 14:55:03",
      "content": "<p>Hi - I'm trying to reconstruct Chris Deotte's (<a href=\"https://www.kaggle.com/cdeotte\" target=\"_blank\">https://www.kaggle.com/cdeotte</a>) awesome EfficientNet Starter notebook.  I added the 2 datasets required for the spectrogram  processing  and .  Now I'm trying find the EfficientNet pre-loaded weights seen in Chris's Kaggle/input  directory as well as the \"whl\" files which appear to be particular versions of various python &amp; packages .  It'd be greatly appreciated if you might point me in the right direction.  Thanks, Matthew</p>",
      "rawMarkdown": "Hi - I'm trying to reconstruct Chris Deotte's (https://www.kaggle.com/cdeotte) awesome EfficientNet Starter notebook.  I added the 2 datasets required for the spectrogram  processing <brain_spectrograms> and <brain_eeg_spectrograms>.  Now I'm trying find the EfficientNet pre-loaded weights seen in Chris's Kaggle/input <tf-efficientnet-imagenet-weights> directory as well as the \"whl\" files which appear to be particular versions of various python & packages <tf-efficientnet-whl-files>.  It'd be greatly appreciated if you might point me in the right direction.  Thanks, Matthew",
      "votes": null
    },
    {
      "id": "2628965",
      "postDate": "01/31/2024 14:59:12",
      "content": "<p>The WHL files for pip install are <a href=\"https://www.kaggle.com/code/cdeotte/tf-efficientnet-whl-files\" target=\"_blank\">here</a> as notebook output. And the pretrained model weights are <a href=\"https://www.kaggle.com/datasets/cdeotte/tf-efficientnet-imagenet-weights\" target=\"_blank\">here</a> in Kaggle dataset. An example how to use these are in my EfficientNet starter notebook <a href=\"https://www.kaggle.com/code/cdeotte/efficientnetb0-starter-lb-0-43\" target=\"_blank\">here</a></p>",
      "rawMarkdown": "The WHL files for pip install are [here][1] as notebook output. And the pretrained model weights are [here][2] in Kaggle dataset. An example how to use these are in my EfficientNet starter notebook [here][3]\n\n[1]: https://www.kaggle.com/code/cdeotte/tf-efficientnet-whl-files\n[2]: https://www.kaggle.com/datasets/cdeotte/tf-efficientnet-imagenet-weights\n[3]: https://www.kaggle.com/code/cdeotte/efficientnetb0-starter-lb-0-43",
      "votes": null
    },
    {
      "id": "2629122",
      "postDate": "01/31/2024 16:28:30",
      "content": "<p>Gracias!      </p>",
      "rawMarkdown": "Gracias!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2628965,
      "author_name": "cdeotte",
      "author_url": "",
      "post_date": "01/31/2024 14:59:12",
      "content": "<p>The WHL files for pip install are <a href=\"https://www.kaggle.com/code/cdeotte/tf-efficientnet-whl-files\" target=\"_blank\">here</a> as notebook output. And the pretrained model weights are <a href=\"https://www.kaggle.com/datasets/cdeotte/tf-efficientnet-imagenet-weights\" target=\"_blank\">here</a> in Kaggle dataset. An example how to use these are in my EfficientNet starter notebook <a href=\"https://www.kaggle.com/code/cdeotte/efficientnetb0-starter-lb-0-43\" target=\"_blank\">here</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 2629122,
          "author_name": "matucker",
          "author_url": "",
          "post_date": "01/31/2024 16:28:30",
          "content": "<p>Gracias!      </p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2628953": "Hi - I'm trying to reconstruct Chris Deotte's (https://www.kaggle.com/cdeotte) awesome EfficientNet Starter notebook.  I added the 2 datasets required for the spectrogram  processing <brain_spectrograms> and <brain_eeg_spectrograms>.  Now I'm trying find the EfficientNet pre-loaded weights seen in Chris's Kaggle/input <tf-efficientnet-imagenet-weights> directory as well as the \"whl\" files which appear to be particular versions of various python & packages <tf-efficientnet-whl-files>.  It'd be greatly appreciated if you might point me in the right direction.  Thanks, Matthew",
    "2628965": "The WHL files for pip install are [here][1] as notebook output. And the pretrained model weights are [here][2] in Kaggle dataset. An example how to use these are in my EfficientNet starter notebook [here][3]\n\n[1]: https://www.kaggle.com/code/cdeotte/tf-efficientnet-whl-files\n[2]: https://www.kaggle.com/datasets/cdeotte/tf-efficientnet-imagenet-weights\n[3]: https://www.kaggle.com/code/cdeotte/efficientnetb0-starter-lb-0-43",
    "2629122": "Gracias!"
  },
  "source": "meta"
}