{
  "id": 545342,
  "title": "Why don’t we use deep learning to process Actigraphy files? ",
  "url": "/competitions/child-mind-institute-problematic-internet-use/discussion/545342",
  "author_name": "Mattrixee",
  "post_date": "2024-11-09T15:26:47.360000",
  "votes": 0,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Actigraphy files are essentially time series datasets. It seems natural to apply deep learning for classification tasks. I tried using a simple ResNet model, but the results were poor. Could the issue be with my model?</p>",
  "messages": [
    {
      "id": 3040794,
      "postDate": "2024-11-09T15:26:47.360Z",
      "content": "<p>Actigraphy files are essentially time series datasets. It seems natural to apply deep learning for classification tasks. I tried using a simple ResNet model, but the results were poor. Could the issue be with my model?</p>",
      "rawMarkdown": "Actigraphy files are essentially time series datasets. It seems natural to apply deep learning for classification tasks. I tried using a simple ResNet model, but the results were poor. Could the issue be with my model?\n"
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "3040794": "Actigraphy files are essentially time series datasets. It seems natural to apply deep learning for classification tasks. I tried using a simple ResNet model, but the results were poor. Could the issue be with my model?\n"
  }
}