{
  "id": 164954,
  "title": "free copy for a limited time Deep Learning with PyTorch",
  "url": "/competitions/global-wheat-detection/discussion/164954",
  "author_name": "",
  "post_date": "2020-07-08T02:54:04.268325500Z",
  "votes": 8,
  "comment_count": 4,
  "views": 0,
  "content": "<p>Deep Learning with PyTorch provides a detailed, hands-on introduction to building and training neural networks with PyTorch, a popular open source machine learning framework. This full book includes:\n<a href=\"https://pytorch.org/deep-learning-with-pytorch\">https://pytorch.org/deep-learning-with-pytorch</a></p>\n\n<p>Introduction to deep learning and the PyTorch library\nPre-trained networks\nTensors\nThe mechanics of learning\nUsing a neural network to fit data\nUsing convolutions to generalize\nReal-world examples: Building a neural network designed for cancer detection\nDeploying to production</p>\n\n<p>Get a free copy for a limited time.</p>",
  "messages": [
    {
      "id": "919632",
      "postDate": "07/08/2020 02:54:04",
      "content": "<p>Deep Learning with PyTorch provides a detailed, hands-on introduction to building and training neural networks with PyTorch, a popular open source machine learning framework. This full book includes:\n<a href=\"https://pytorch.org/deep-learning-with-pytorch\">https://pytorch.org/deep-learning-with-pytorch</a></p>\n\n<p>Introduction to deep learning and the PyTorch library\nPre-trained networks\nTensors\nThe mechanics of learning\nUsing a neural network to fit data\nUsing convolutions to generalize\nReal-world examples: Building a neural network designed for cancer detection\nDeploying to production</p>\n\n<p>Get a free copy for a limited time.</p>",
      "rawMarkdown": "Deep Learning with PyTorch provides a detailed, hands-on introduction to building and training neural networks with PyTorch, a popular open source machine learning framework. This full book includes:\nhttps://pytorch.org/deep-learning-with-pytorch\n\nIntroduction to deep learning and the PyTorch library\nPre-trained networks\nTensors\nThe mechanics of learning\nUsing a neural network to fit data\nUsing convolutions to generalize\nReal-world examples: Building a neural network designed for cancer detection\nDeploying to production\n\nGet a free copy for a limited time.",
      "votes": null
    },
    {
      "id": "919637",
      "postDate": "07/08/2020 02:57:40",
      "content": "<p>Oh interesting, thank you for sharing!</p>",
      "rawMarkdown": "Oh interesting, thank you for sharing!",
      "votes": null
    },
    {
      "id": "919638",
      "postDate": "07/08/2020 02:58:28",
      "content": "<p>happy to help</p>",
      "rawMarkdown": "happy to help",
      "votes": null
    },
    {
      "id": "919647",
      "postDate": "07/08/2020 03:18:04",
      "content": "<p>Nice, thank you for sharing. Hope I can find some time to read through✊ </p>",
      "rawMarkdown": "Nice, thank you for sharing. Hope I can find some time to read through✊",
      "votes": null
    },
    {
      "id": "919848",
      "postDate": "07/08/2020 06:25:40",
      "content": "<p>Thanks for sharing!</p>",
      "rawMarkdown": "Thanks for sharing!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 919637,
      "author_name": "matthewmasters",
      "author_url": "",
      "post_date": "07/08/2020 02:57:40",
      "content": "<p>Oh interesting, thank you for sharing!</p>",
      "votes": null,
      "replies": [
        {
          "id": 919638,
          "author_name": "kennethrithvik",
          "author_url": "",
          "post_date": "07/08/2020 02:58:28",
          "content": "<p>happy to help</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 919647,
      "author_name": "reputation18",
      "author_url": "",
      "post_date": "07/08/2020 03:18:04",
      "content": "<p>Nice, thank you for sharing. Hope I can find some time to read through✊ </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 919848,
      "author_name": "",
      "author_url": "",
      "post_date": "07/08/2020 06:25:40",
      "content": "<p>Thanks for sharing!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "919632": "Deep Learning with PyTorch provides a detailed, hands-on introduction to building and training neural networks with PyTorch, a popular open source machine learning framework. This full book includes:\nhttps://pytorch.org/deep-learning-with-pytorch\n\nIntroduction to deep learning and the PyTorch library\nPre-trained networks\nTensors\nThe mechanics of learning\nUsing a neural network to fit data\nUsing convolutions to generalize\nReal-world examples: Building a neural network designed for cancer detection\nDeploying to production\n\nGet a free copy for a limited time.",
    "919637": "Oh interesting, thank you for sharing!",
    "919638": "happy to help",
    "919647": "Nice, thank you for sharing. Hope I can find some time to read through✊",
    "919848": "Thanks for sharing!"
  },
  "source": "meta"
}