{
  "id": 437658,
  "title": "Introduction to LSTMs",
  "url": "/competitions/child-mind-institute-detect-sleep-states/discussion/437658",
  "author_name": "",
  "post_date": "2023-09-07T17:48:07.186135400Z",
  "votes": 16,
  "comment_count": 2,
  "views": 0,
  "content": "<p>I made an introductory <a href=\"https://www.kaggle.com/code/alejopaullier/introduction-to-lstm\" target=\"_blank\">notebook</a> on LSTMs (Long Short-Term Memory networks)  where you can learn the basic components and code one from scratch using PyTorch</p>\n<p><img src=\"https://i.imgur.com/k5cU8h3.gif\"></p>\n<p>The notebook includes many animations, diagrams as well as code of the different components of the LSTM architecture. In the notebook you will:</p>\n<ul>\n<li>Get the theoretical background of how LSTMs work and which are their basic components.</li>\n<li>Code your own LSTM network with a practical example</li>\n</ul>\n<p><img src=\"https://i.imgur.com/Vopolyl.png\"></p>\n<p>Hope you like it :)</p>",
  "messages": [
    {
      "id": "2428211",
      "postDate": "09/07/2023 17:48:07",
      "content": "<p>I made an introductory <a href=\"https://www.kaggle.com/code/alejopaullier/introduction-to-lstm\" target=\"_blank\">notebook</a> on LSTMs (Long Short-Term Memory networks)  where you can learn the basic components and code one from scratch using PyTorch</p>\n<p><img src=\"https://i.imgur.com/k5cU8h3.gif\"></p>\n<p>The notebook includes many animations, diagrams as well as code of the different components of the LSTM architecture. In the notebook you will:</p>\n<ul>\n<li>Get the theoretical background of how LSTMs work and which are their basic components.</li>\n<li>Code your own LSTM network with a practical example</li>\n</ul>\n<p><img src=\"https://i.imgur.com/Vopolyl.png\"></p>\n<p>Hope you like it :)</p>",
      "rawMarkdown": "I made an introductory [notebook](https://www.kaggle.com/code/alejopaullier/introduction-to-lstm) on LSTMs (Long Short-Term Memory networks)  where you can learn the basic components and code one from scratch using PyTorch\n\n<center><img src=\"https://i.imgur.com/k5cU8h3.gif\" width=600></center>\n\nThe notebook includes many animations, diagrams as well as code of the different components of the LSTM architecture. In the notebook you will:\n\n- Get the theoretical background of how LSTMs work and which are their basic components.\n- Code your own LSTM network with a practical example\n\n<center><img src=\"https://i.imgur.com/Vopolyl.png\" width=\"800\"></center>\n\nHope you like it :)",
      "votes": null
    },
    {
      "id": "2428815",
      "postDate": "09/08/2023 07:15:22",
      "content": "<p>Attention is all you need! (or 1d convolutions)</p>",
      "rawMarkdown": "Attention is all you need! (or 1d convolutions)",
      "votes": null
    },
    {
      "id": "2545764",
      "postDate": "12/01/2023 18:01:32",
      "content": "<p>Thank you for sharing that. </p>",
      "rawMarkdown": "Thank you for sharing that.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2428815,
      "author_name": "t0xicwast3",
      "author_url": "",
      "post_date": "09/08/2023 07:15:22",
      "content": "<p>Attention is all you need! (or 1d convolutions)</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2545764,
      "author_name": "mohammadpakdaman0",
      "author_url": "",
      "post_date": "12/01/2023 18:01:32",
      "content": "<p>Thank you for sharing that. </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2428211": "I made an introductory [notebook](https://www.kaggle.com/code/alejopaullier/introduction-to-lstm) on LSTMs (Long Short-Term Memory networks)  where you can learn the basic components and code one from scratch using PyTorch\n\n<center><img src=\"https://i.imgur.com/k5cU8h3.gif\" width=600></center>\n\nThe notebook includes many animations, diagrams as well as code of the different components of the LSTM architecture. In the notebook you will:\n\n- Get the theoretical background of how LSTMs work and which are their basic components.\n- Code your own LSTM network with a practical example\n\n<center><img src=\"https://i.imgur.com/Vopolyl.png\" width=\"800\"></center>\n\nHope you like it :)",
    "2428815": "Attention is all you need! (or 1d convolutions)",
    "2545764": "Thank you for sharing that."
  },
  "source": "meta"
}