{
  "id": 164953,
  "title": "free copy for a limited time Deep Learning with PyTorch",
  "url": "/competitions/osic-pulmonary-fibrosis-progression/discussion/164953",
  "author_name": "",
  "post_date": "2020-07-08T02:52:05.448246200Z",
  "votes": -2,
  "comment_count": 1,
  "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": "919629",
      "postDate": "07/08/2020 02:52:05",
      "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:\n[https://pytorch.org/deep-learning-with-pytorch](https://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": "932651",
      "postDate": "07/17/2020 07:28:01",
      "content": "<p>It will be there always!</p>",
      "rawMarkdown": "It will be there always!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 932651,
      "author_name": "kurianbenoy",
      "author_url": "",
      "post_date": "07/17/2020 07:28:01",
      "content": "<p>It will be there always!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "919629": "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[https://pytorch.org/deep-learning-with-pytorch](https://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.",
    "932651": "It will be there always!"
  },
  "source": "meta"
}