{
  "id": 222664,
  "title": "how to use lstm in this competition",
  "url": "/competitions/indoor-location-navigation/discussion/222664",
  "author_name": "",
  "post_date": "2021-02-28T14:22:56.924867700Z",
  "votes": 8,
  "comment_count": 5,
  "views": 0,
  "content": "<p>I am very curious about how to use rnn network in this compitation?Have anyone give a few suggestions?Just use wifi features or all features on lstm?</p>",
  "messages": [
    {
      "id": "1220942",
      "postDate": "02/28/2021 14:22:56",
      "content": "<p>I am very curious about how to use rnn network in this compitation?Have anyone give a few suggestions?Just use wifi features or all features on lstm?</p>",
      "rawMarkdown": "I am very curious about how to use rnn network in this compitation?Have anyone give a few suggestions?Just use wifi features or all features on lstm?",
      "votes": null
    },
    {
      "id": "1221835",
      "postDate": "03/01/2021 10:43:00",
      "content": "<p>I actually am using LSTM using <a href=\"https://www.kaggle.com/kokitanisaka/indoorunifiedwifids\" target=\"_blank\">this dataset</a>.<br>\nJust put these features into LSTM model, the model can learn from the data. </p>\n<p>And of course using all the features can possible as well, I haven't tried that yet though. </p>",
      "rawMarkdown": "I actually am using LSTM using [this dataset](https://www.kaggle.com/kokitanisaka/indoorunifiedwifids).\nJust put these features into LSTM model, the model can learn from the data. \n\nAnd of course using all the features can possible as well, I haven't tried that yet though.",
      "votes": null
    },
    {
      "id": "1222657",
      "postDate": "03/02/2021 02:48:59",
      "content": "<p>Thank you for your help! I will try your method.</p>",
      "rawMarkdown": "Thank you for your help! I will try your method.",
      "votes": null
    },
    {
      "id": "1227102",
      "postDate": "03/05/2021 08:00:29",
      "content": "<p>I think this paper will be a good reference for your LSTM implementation💪</p>\n<p><a href=\"https://www.researchgate.net/publication/328819708_An_LSTM-based_Indoor_Positioning_Method_Using_Wi-Fi_Signals\" target=\"_blank\">https://www.researchgate.net/publication/328819708_An_LSTM-based_Indoor_Positioning_Method_Using_Wi-Fi_Signals</a></p>",
      "rawMarkdown": "I think this paper will be a good reference for your LSTM implementation💪\n\nhttps://www.researchgate.net/publication/328819708_An_LSTM-based_Indoor_Positioning_Method_Using_Wi-Fi_Signals",
      "votes": null
    },
    {
      "id": "1229073",
      "postDate": "03/07/2021 04:02:55",
      "content": "<p>Thanks for sharing!</p>",
      "rawMarkdown": "Thanks for sharing!",
      "votes": null
    },
    {
      "id": "1230444",
      "postDate": "03/08/2021 06:44:20",
      "content": "<p>Thank you for sharing!</p>",
      "rawMarkdown": "Thank you for sharing!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1221835,
      "author_name": "kokitanisaka",
      "author_url": "",
      "post_date": "03/01/2021 10:43:00",
      "content": "<p>I actually am using LSTM using <a href=\"https://www.kaggle.com/kokitanisaka/indoorunifiedwifids\" target=\"_blank\">this dataset</a>.<br>\nJust put these features into LSTM model, the model can learn from the data. </p>\n<p>And of course using all the features can possible as well, I haven't tried that yet though. </p>",
      "votes": null,
      "replies": [
        {
          "id": 1222657,
          "author_name": "luffy521",
          "author_url": "",
          "post_date": "03/02/2021 02:48:59",
          "content": "<p>Thank you for your help! I will try your method.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1227102,
      "author_name": "yamsam",
      "author_url": "",
      "post_date": "03/05/2021 08:00:29",
      "content": "<p>I think this paper will be a good reference for your LSTM implementation💪</p>\n<p><a href=\"https://www.researchgate.net/publication/328819708_An_LSTM-based_Indoor_Positioning_Method_Using_Wi-Fi_Signals\" target=\"_blank\">https://www.researchgate.net/publication/328819708_An_LSTM-based_Indoor_Positioning_Method_Using_Wi-Fi_Signals</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 1229073,
          "author_name": "mayasakaguchi",
          "author_url": "",
          "post_date": "03/07/2021 04:02:55",
          "content": "<p>Thanks for sharing!</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1230444,
          "author_name": "luffy521",
          "author_url": "",
          "post_date": "03/08/2021 06:44:20",
          "content": "<p>Thank you for sharing!</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1220942": "I am very curious about how to use rnn network in this compitation?Have anyone give a few suggestions?Just use wifi features or all features on lstm?",
    "1221835": "I actually am using LSTM using [this dataset](https://www.kaggle.com/kokitanisaka/indoorunifiedwifids).\nJust put these features into LSTM model, the model can learn from the data. \n\nAnd of course using all the features can possible as well, I haven't tried that yet though.",
    "1222657": "Thank you for your help! I will try your method.",
    "1227102": "I think this paper will be a good reference for your LSTM implementation💪\n\nhttps://www.researchgate.net/publication/328819708_An_LSTM-based_Indoor_Positioning_Method_Using_Wi-Fi_Signals",
    "1229073": "Thanks for sharing!",
    "1230444": "Thank you for sharing!"
  },
  "source": "meta"
}