{
  "id": 181940,
  "title": "Opportunity to increase your weekly TPU quota for four weeks",
  "url": "/competitions/birdsong-recognition/discussion/181940",
  "author_name": "",
  "post_date": "2020-09-10T17:43:36.217557Z",
  "votes": 10,
  "comment_count": 4,
  "views": 0,
  "content": "<p>While the use of TPUs is only possible for training (and not on submissions) in this competition, we’re excited to see how you’re training on audio data with TPUs and wanted to call your attention to <strong><a href=\"https://www.kaggle.com/tpu-prize\" target=\"_blank\">the opportunity to increase your TPU quota</a></strong> by 20 hours each week for four weeks by sharing your TPU knowledge with the Kaggle community! We’re looking for notebooks that both demonstrate your mastery of TPU knowledge as well as serve as an educational resource for the Kaggle community. </p>\n<p><strong>What are TPUs?</strong><br>\nTensor Processing Units (TPUs) are powerful hardware accelerators specialized in deep learning tasks. They were developed (and first used) by Google to process large image databases, such as extracting all the text from Street View and we recently integrated them into Kaggle Notebooks. </p>",
  "messages": [
    {
      "id": "1005739",
      "postDate": "09/10/2020 17:43:36",
      "content": "<p>While the use of TPUs is only possible for training (and not on submissions) in this competition, we’re excited to see how you’re training on audio data with TPUs and wanted to call your attention to <strong><a href=\"https://www.kaggle.com/tpu-prize\" target=\"_blank\">the opportunity to increase your TPU quota</a></strong> by 20 hours each week for four weeks by sharing your TPU knowledge with the Kaggle community! We’re looking for notebooks that both demonstrate your mastery of TPU knowledge as well as serve as an educational resource for the Kaggle community. </p>\n<p><strong>What are TPUs?</strong><br>\nTensor Processing Units (TPUs) are powerful hardware accelerators specialized in deep learning tasks. They were developed (and first used) by Google to process large image databases, such as extracting all the text from Street View and we recently integrated them into Kaggle Notebooks. </p>",
      "rawMarkdown": "While the use of TPUs is only possible for training (and not on submissions) in this competition, we’re excited to see how you’re training on audio data with TPUs and wanted to call your attention to **[the opportunity to increase your TPU quota](https://www.kaggle.com/tpu-prize)** by 20 hours each week for four weeks by sharing your TPU knowledge with the Kaggle community! We’re looking for notebooks that both demonstrate your mastery of TPU knowledge as well as serve as an educational resource for the Kaggle community. \n \n**What are TPUs?**\nTensor Processing Units (TPUs) are powerful hardware accelerators specialized in deep learning tasks. They were developed (and first used) by Google to process large image databases, such as extracting all the text from Street View and we recently integrated them into Kaggle Notebooks.",
      "votes": null
    },
    {
      "id": "1006186",
      "postDate": "09/11/2020 05:14:05",
      "content": "<p>How to use this opportunity and is this for limited time.?</p>",
      "rawMarkdown": "How to use this opportunity and is this for limited time.?",
      "votes": null
    },
    {
      "id": "1006971",
      "postDate": "09/11/2020 17:27:49",
      "content": "<p>you can submit a publicly-available notebook here: <a href=\"https://www.kaggle.com/tpu-prize\" target=\"_blank\">https://www.kaggle.com/tpu-prize</a></p>\n<p>we evaluate notebooks weekly, and are looking for notebooks that serve as educational resources for the Kaggle community. the three areas we look at are accuracy, presentation, and documentation.</p>\n<p>we will be running the program until December 13th, 2020.</p>",
      "rawMarkdown": "you can submit a publicly-available notebook here: https://www.kaggle.com/tpu-prize\n\nwe evaluate notebooks weekly, and are looking for notebooks that serve as educational resources for the Kaggle community. the three areas we look at are accuracy, presentation, and documentation.\n\nwe will be running the program until December 13th, 2020.",
      "votes": null
    },
    {
      "id": "1007300",
      "postDate": "09/12/2020 04:06:22",
      "content": "<p>Thank you.!!</p>",
      "rawMarkdown": "Thank you.!!",
      "votes": null
    },
    {
      "id": "1007757",
      "postDate": "09/12/2020 13:10:56",
      "content": "<p>I will upgrade TPU quta</p>",
      "rawMarkdown": "I will upgrade TPU quta",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1007757,
      "author_name": "shams1",
      "author_url": "",
      "post_date": "09/12/2020 13:10:56",
      "content": "<p>I will upgrade TPU quta</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1006186,
      "author_name": "ranand60",
      "author_url": "",
      "post_date": "09/11/2020 05:14:05",
      "content": "<p>How to use this opportunity and is this for limited time.?</p>",
      "votes": null,
      "replies": [
        {
          "id": 1006971,
          "author_name": "jessemostipak",
          "author_url": "",
          "post_date": "09/11/2020 17:27:49",
          "content": "<p>you can submit a publicly-available notebook here: <a href=\"https://www.kaggle.com/tpu-prize\" target=\"_blank\">https://www.kaggle.com/tpu-prize</a></p>\n<p>we evaluate notebooks weekly, and are looking for notebooks that serve as educational resources for the Kaggle community. the three areas we look at are accuracy, presentation, and documentation.</p>\n<p>we will be running the program until December 13th, 2020.</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1007300,
          "author_name": "ranand60",
          "author_url": "",
          "post_date": "09/12/2020 04:06:22",
          "content": "<p>Thank you.!!</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1005739": "While the use of TPUs is only possible for training (and not on submissions) in this competition, we’re excited to see how you’re training on audio data with TPUs and wanted to call your attention to **[the opportunity to increase your TPU quota](https://www.kaggle.com/tpu-prize)** by 20 hours each week for four weeks by sharing your TPU knowledge with the Kaggle community! We’re looking for notebooks that both demonstrate your mastery of TPU knowledge as well as serve as an educational resource for the Kaggle community. \n \n**What are TPUs?**\nTensor Processing Units (TPUs) are powerful hardware accelerators specialized in deep learning tasks. They were developed (and first used) by Google to process large image databases, such as extracting all the text from Street View and we recently integrated them into Kaggle Notebooks.",
    "1006186": "How to use this opportunity and is this for limited time.?",
    "1006971": "you can submit a publicly-available notebook here: https://www.kaggle.com/tpu-prize\n\nwe evaluate notebooks weekly, and are looking for notebooks that serve as educational resources for the Kaggle community. the three areas we look at are accuracy, presentation, and documentation.\n\nwe will be running the program until December 13th, 2020.",
    "1007300": "Thank you.!!",
    "1007757": "I will upgrade TPU quta"
  },
  "source": "meta"
}