{
  "id": 98926,
  "title": "simple pytorch WGAN divergence implementation ",
  "url": "/competitions/generative-dog-images/discussion/98926",
  "author_name": "",
  "post_date": "2019-07-07T16:07:54.492376400Z",
  "votes": 5,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Dear All ,</p>\n\n<p>Started with Pytorch WGAN divergence implementation for this dataset . My Kernel is \n<a href=\"https://www.kaggle.com/phoenix9032/simple-pytorch-wgan-div-for-dog-images\">https://www.kaggle.com/phoenix9032/simple-pytorch-wgan-div-for-dog-images</a></p>\n\n<p>It's only run for 30 epochs just to give a conceptual idea . Feel free to fork ,modify ,run for epochs \ngive upvote if you like it .</p>",
  "messages": [
    {
      "id": "569972",
      "postDate": "07/07/2019 16:07:54",
      "content": "<p>Dear All ,</p>\n\n<p>Started with Pytorch WGAN divergence implementation for this dataset . My Kernel is \n<a href=\"https://www.kaggle.com/phoenix9032/simple-pytorch-wgan-div-for-dog-images\">https://www.kaggle.com/phoenix9032/simple-pytorch-wgan-div-for-dog-images</a></p>\n\n<p>It's only run for 30 epochs just to give a conceptual idea . Feel free to fork ,modify ,run for epochs \ngive upvote if you like it .</p>",
      "rawMarkdown": "Dear All ,\n\nStarted with Pytorch WGAN divergence implementation for this dataset . My Kernel is \nhttps://www.kaggle.com/phoenix9032/simple-pytorch-wgan-div-for-dog-images\n\nIt's only run for 30 epochs just to give a conceptual idea . Feel free to fork ,modify ,run for epochs \ngive upvote if you like it .",
      "votes": null
    },
    {
      "id": "569973",
      "postDate": "07/07/2019 16:09:52",
      "content": "<p>Good kernel .\nThanks you.</p>",
      "rawMarkdown": "Good kernel .\nThanks you.",
      "votes": null
    },
    {
      "id": "569976",
      "postDate": "07/07/2019 16:15:47",
      "content": "<p>Thank you .please upvote if it helps you in anyway .</p>",
      "rawMarkdown": "Thank you .please upvote if it helps you in anyway .",
      "votes": null
    },
    {
      "id": "570071",
      "postDate": "07/07/2019 18:21:08",
      "content": "<p>Thanks for sharing! You're trying wgan-gp, your clip_value in opt makes me think you're using wgan, lol</p>",
      "rawMarkdown": "Thanks for sharing! You're trying wgan-gp, your clip_value in opt makes me think you're using wgan, lol",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 569973,
      "author_name": "snakayama",
      "author_url": "",
      "post_date": "07/07/2019 16:09:52",
      "content": "<p>Good kernel .\nThanks you.</p>",
      "votes": null,
      "replies": [
        {
          "id": 569976,
          "author_name": "phoenix9032",
          "author_url": "",
          "post_date": "07/07/2019 16:15:47",
          "content": "<p>Thank you .please upvote if it helps you in anyway .</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 570071,
      "author_name": "jionie",
      "author_url": "",
      "post_date": "07/07/2019 18:21:08",
      "content": "<p>Thanks for sharing! You're trying wgan-gp, your clip_value in opt makes me think you're using wgan, lol</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "569972": "Dear All ,\n\nStarted with Pytorch WGAN divergence implementation for this dataset . My Kernel is \nhttps://www.kaggle.com/phoenix9032/simple-pytorch-wgan-div-for-dog-images\n\nIt's only run for 30 epochs just to give a conceptual idea . Feel free to fork ,modify ,run for epochs \ngive upvote if you like it .",
    "569973": "Good kernel .\nThanks you.",
    "569976": "Thank you .please upvote if it helps you in anyway .",
    "570071": "Thanks for sharing! You're trying wgan-gp, your clip_value in opt makes me think you're using wgan, lol"
  },
  "source": "meta"
}