{
  "id": 99172,
  "title": "Score Comparison of various GAN that I tried ",
  "url": "/competitions/generative-dog-images/discussion/99172",
  "author_name": "",
  "post_date": "2019-07-09T09:30:25.483641Z",
  "votes": 7,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Dear Kagglers ,</p>\n\n<p>I have started learning a lot in this competition from the experts . This is my second ever any competitive coding participation . I have read various GAN related topic , referred the public kernels and research papers .  Here are the few items that i have tried and the results for the same . Let me know what you think . You can try something if you are new , or drop me a hint to try something , if you feel I have missed to explore.  Some kernels are not public , because , there are lot of good Samaritans who has the similar kernels and people can refer to them and upvote . </p>\n\n<p>If you feel this info is useful for you , you can upvote .Note : Many of them are experimental parameters , please dont consider them as optimum parameters .</p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234817%2Fe7e814391a2887795ed006ccecc8f948%2FScore.png?generation=1562664499128921&amp;alt=media\" alt=\"\"></p>\n\n<p>Few of my kernels are : \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>\n<a href=\"https://www.kaggle.com/phoenix9032/fastai-wgan-for-dog-image-generation\">https://www.kaggle.com/phoenix9032/fastai-wgan-for-dog-image-generation</a></p>",
  "messages": [
    {
      "id": "571192",
      "postDate": "07/09/2019 09:30:25",
      "content": "<p>Dear Kagglers ,</p>\n\n<p>I have started learning a lot in this competition from the experts . This is my second ever any competitive coding participation . I have read various GAN related topic , referred the public kernels and research papers .  Here are the few items that i have tried and the results for the same . Let me know what you think . You can try something if you are new , or drop me a hint to try something , if you feel I have missed to explore.  Some kernels are not public , because , there are lot of good Samaritans who has the similar kernels and people can refer to them and upvote . </p>\n\n<p>If you feel this info is useful for you , you can upvote .Note : Many of them are experimental parameters , please dont consider them as optimum parameters .</p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234817%2Fe7e814391a2887795ed006ccecc8f948%2FScore.png?generation=1562664499128921&amp;alt=media\" alt=\"\"></p>\n\n<p>Few of my kernels are : \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>\n<a href=\"https://www.kaggle.com/phoenix9032/fastai-wgan-for-dog-image-generation\">https://www.kaggle.com/phoenix9032/fastai-wgan-for-dog-image-generation</a></p>",
      "rawMarkdown": "Dear Kagglers ,\n\nI have started learning a lot in this competition from the experts . This is my second ever any competitive coding participation . I have read various GAN related topic , referred the public kernels and research papers .  Here are the few items that i have tried and the results for the same . Let me know what you think . You can try something if you are new , or drop me a hint to try something , if you feel I have missed to explore.  Some kernels are not public , because , there are lot of good Samaritans who has the similar kernels and people can refer to them and upvote . \n\nIf you feel this info is useful for you , you can upvote .Note : Many of them are experimental parameters , please dont consider them as optimum parameters .\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234817%2Fe7e814391a2887795ed006ccecc8f948%2FScore.png?generation=1562664499128921&amp;alt=media)\n\nFew of my kernels are : \nhttps://www.kaggle.com/phoenix9032/simple-pytorch-wgan-div-for-dog-images\nhttps://www.kaggle.com/phoenix9032/fastai-wgan-for-dog-image-generation",
      "votes": null
    },
    {
      "id": "571205",
      "postDate": "07/09/2019 09:50:16",
      "content": "<p>Very helpful! Thanks :D</p>",
      "rawMarkdown": "Very helpful! Thanks :D",
      "votes": null
    },
    {
      "id": "571235",
      "postDate": "07/09/2019 10:57:20",
      "content": "<p>WGAN-Div got me a score much worse than WGAN itself</p>",
      "rawMarkdown": "WGAN-Div got me a score much worse than WGAN itself",
      "votes": null
    },
    {
      "id": "571443",
      "postDate": "07/09/2019 15:40:02",
      "content": "<p>Great work Nirjhar. Have your tried CGANs and/or Feature Matching? Ian Goodfellow published a great paper <a href=\"https://arxiv.org/abs/1606.03498\">here</a>. And I provide pictures and explanations <a href=\"https://www.kaggle.com/c/generative-dog-images/discussion/99215\">here</a></p>",
      "rawMarkdown": "Great work Nirjhar. Have your tried CGANs and/or Feature Matching? Ian Goodfellow published a great paper [here][1]. And I provide pictures and explanations [here][2]\n\n[1]: https://arxiv.org/abs/1606.03498\n[2]: https://www.kaggle.com/c/generative-dog-images/discussion/99215",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 571205,
      "author_name": "enric1296",
      "author_url": "",
      "post_date": "07/09/2019 09:50:16",
      "content": "<p>Very helpful! Thanks :D</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 571235,
      "author_name": "venheads",
      "author_url": "",
      "post_date": "07/09/2019 10:57:20",
      "content": "<p>WGAN-Div got me a score much worse than WGAN itself</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 571443,
      "author_name": "cdeotte",
      "author_url": "",
      "post_date": "07/09/2019 15:40:02",
      "content": "<p>Great work Nirjhar. Have your tried CGANs and/or Feature Matching? Ian Goodfellow published a great paper <a href=\"https://arxiv.org/abs/1606.03498\">here</a>. And I provide pictures and explanations <a href=\"https://www.kaggle.com/c/generative-dog-images/discussion/99215\">here</a></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "571192": "Dear Kagglers ,\n\nI have started learning a lot in this competition from the experts . This is my second ever any competitive coding participation . I have read various GAN related topic , referred the public kernels and research papers .  Here are the few items that i have tried and the results for the same . Let me know what you think . You can try something if you are new , or drop me a hint to try something , if you feel I have missed to explore.  Some kernels are not public , because , there are lot of good Samaritans who has the similar kernels and people can refer to them and upvote . \n\nIf you feel this info is useful for you , you can upvote .Note : Many of them are experimental parameters , please dont consider them as optimum parameters .\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234817%2Fe7e814391a2887795ed006ccecc8f948%2FScore.png?generation=1562664499128921&amp;alt=media)\n\nFew of my kernels are : \nhttps://www.kaggle.com/phoenix9032/simple-pytorch-wgan-div-for-dog-images\nhttps://www.kaggle.com/phoenix9032/fastai-wgan-for-dog-image-generation",
    "571205": "Very helpful! Thanks :D",
    "571235": "WGAN-Div got me a score much worse than WGAN itself",
    "571443": "Great work Nirjhar. Have your tried CGANs and/or Feature Matching? Ian Goodfellow published a great paper [here][1]. And I provide pictures and explanations [here][2]\n\n[1]: https://arxiv.org/abs/1606.03498\n[2]: https://www.kaggle.com/c/generative-dog-images/discussion/99215"
  },
  "source": "meta"
}