{
  "id": 174869,
  "title": "GAN Notebook to generate images ( Completed )",
  "url": "/competitions/siim-isic-melanoma-classification/discussion/174869",
  "author_name": "",
  "post_date": "2020-08-15T21:44:32.358940400Z",
  "votes": 4,
  "comment_count": 9,
  "views": 0,
  "content": "<p>I started working on GAN to generate images. Could be useful .<br>\nI thought of using VGG16 and tried to create discriminator based on VGG16.</p>\n<ul>\n<li><a href=\"https://www.kaggle.com/rajnishe/gan-image-model\" target=\"_blank\">https://www.kaggle.com/rajnishe/gan-image-model</a></li>\n<li>Training part completed<br>\nWHAT TO DO:</li>\n<li>Check the reference cell on how to create images from trained model 😊<br>\nMay not be useful for this competition but may for some other<br>\nRead the paper</li>\n<li><a href=\"https://ars.els-cdn.com/content/image/1-s2.0-S1361841519300568-fx1_lrg.jpg\" target=\"_blank\">https://ars.els-cdn.com/content/image/1-s2.0-S1361841519300568-fx1_lrg.jpg</a></li>\n</ul>",
  "messages": [
    {
      "id": "971765",
      "postDate": "08/15/2020 21:44:32",
      "content": "<p>I started working on GAN to generate images. Could be useful .<br>\nI thought of using VGG16 and tried to create discriminator based on VGG16.</p>\n<ul>\n<li><a href=\"https://www.kaggle.com/rajnishe/gan-image-model\" target=\"_blank\">https://www.kaggle.com/rajnishe/gan-image-model</a></li>\n<li>Training part completed<br>\nWHAT TO DO:</li>\n<li>Check the reference cell on how to create images from trained model 😊<br>\nMay not be useful for this competition but may for some other<br>\nRead the paper</li>\n<li><a href=\"https://ars.els-cdn.com/content/image/1-s2.0-S1361841519300568-fx1_lrg.jpg\" target=\"_blank\">https://ars.els-cdn.com/content/image/1-s2.0-S1361841519300568-fx1_lrg.jpg</a></li>\n</ul>",
      "rawMarkdown": "I started working on GAN to generate images. Could be useful .\nI thought of using VGG16 and tried to create discriminator based on VGG16.\n\n- https://www.kaggle.com/rajnishe/gan-image-model\n\n- Training part completed\n\nWHAT TO DO:\n- Check the reference cell on how to create images from trained model 😊\n   May not be useful for this competition but may for some other\n\nRead the paper\n- https://ars.els-cdn.com/content/image/1-s2.0-S1361841519300568-fx1_lrg.jpg",
      "votes": null
    },
    {
      "id": "972173",
      "postDate": "08/16/2020 09:49:45",
      "content": "<p>using VGG19 can also be good choice for discriminator model.</p>",
      "rawMarkdown": "using VGG19 can also be good choice for discriminator model.",
      "votes": null
    },
    {
      "id": "972181",
      "postDate": "08/16/2020 09:59:47",
      "content": "<p>yes, for sure , more deep will be better</p>",
      "rawMarkdown": "yes, for sure , more deep will be better",
      "votes": null
    },
    {
      "id": "972209",
      "postDate": "08/16/2020 10:37:01",
      "content": "<p>Yes for sure and finning tunning the model will get you the desired results</p>",
      "rawMarkdown": "Yes for sure and finning tunning the model will get you the desired results",
      "votes": null
    },
    {
      "id": "972323",
      "postDate": "08/16/2020 13:18:31",
      "content": "<p>I have a beginner level silly question. What advantage does the generated images offer in this dataset?</p>",
      "rawMarkdown": "I have a beginner level silly question. What advantage does the generated images offer in this dataset?",
      "votes": null
    },
    {
      "id": "972387",
      "postDate": "08/16/2020 14:08:46",
      "content": "<p>There are very less positive class images , GAN can be used to generate more images based on competition data.<br>\nThere is one paper , to use only discriminator to do prediction</p>\n<ul>\n<li><a href=\"https://ars.els-cdn.com/content/image/1-s2.0-S1361841519300568-fx1_lrg.jpg\" target=\"_blank\">https://ars.els-cdn.com/content/image/1-s2.0-S1361841519300568-fx1_lrg.jpg</a></li>\n</ul>",
      "rawMarkdown": "There are very less positive class images , GAN can be used to generate more images based on competition data.\nThere is one paper , to use only discriminator to do prediction\n- https://ars.els-cdn.com/content/image/1-s2.0-S1361841519300568-fx1_lrg.jpg",
      "votes": null
    },
    {
      "id": "972457",
      "postDate": "08/16/2020 15:08:39",
      "content": "<p>Thanks for explaining. I will check out the paper for further insights.</p>",
      "rawMarkdown": "Thanks for explaining. I will check out the paper for further insights.",
      "votes": null
    },
    {
      "id": "972766",
      "postDate": "08/16/2020 20:09:58",
      "content": "<p>I've trained a stylegan based model for 128x128 sized images (I couldn't do bigger images as I started training too late). I saw a little improvement in cv, but results didn't keep up on the lb. I will however share the approach as well as the weights as soon as the competition ends if someone is interested :)</p>",
      "rawMarkdown": "I've trained a stylegan based model for 128x128 sized images (I couldn't do bigger images as I started training too late). I saw a little improvement in cv, but results didn't keep up on the lb. I will however share the approach as well as the weights as soon as the competition ends if someone is interested :)",
      "votes": null
    },
    {
      "id": "972990",
      "postDate": "08/17/2020 02:55:04",
      "content": "<p>Great, I will be looking for it,<br>\nI also could not use as started late.Bigger image could have been better.</p>",
      "rawMarkdown": "Great, I will be looking for it,\nI also could not use as started late.Bigger image could have been better.",
      "votes": null
    },
    {
      "id": "973067",
      "postDate": "08/17/2020 04:59:31",
      "content": "<p>Good ,Yeah just a new thought..quiet impressive </p>",
      "rawMarkdown": "Good ,Yeah just a new thought..quiet impressive",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 972323,
      "author_name": "azaemon",
      "author_url": "",
      "post_date": "08/16/2020 13:18:31",
      "content": "<p>I have a beginner level silly question. What advantage does the generated images offer in this dataset?</p>",
      "votes": null,
      "replies": [
        {
          "id": 972387,
          "author_name": "rajnishe",
          "author_url": "",
          "post_date": "08/16/2020 14:08:46",
          "content": "<p>There are very less positive class images , GAN can be used to generate more images based on competition data.<br>\nThere is one paper , to use only discriminator to do prediction</p>\n<ul>\n<li><a href=\"https://ars.els-cdn.com/content/image/1-s2.0-S1361841519300568-fx1_lrg.jpg\" target=\"_blank\">https://ars.els-cdn.com/content/image/1-s2.0-S1361841519300568-fx1_lrg.jpg</a></li>\n</ul>",
          "votes": null,
          "replies": [
            {
              "id": 972457,
              "author_name": "azaemon",
              "author_url": "",
              "post_date": "08/16/2020 15:08:39",
              "content": "<p>Thanks for explaining. I will check out the paper for further insights.</p>",
              "votes": null,
              "replies": []
            }
          ]
        }
      ]
    },
    {
      "id": 972766,
      "author_name": "bauerm93",
      "author_url": "",
      "post_date": "08/16/2020 20:09:58",
      "content": "<p>I've trained a stylegan based model for 128x128 sized images (I couldn't do bigger images as I started training too late). I saw a little improvement in cv, but results didn't keep up on the lb. I will however share the approach as well as the weights as soon as the competition ends if someone is interested :)</p>",
      "votes": null,
      "replies": [
        {
          "id": 972990,
          "author_name": "rajnishe",
          "author_url": "",
          "post_date": "08/17/2020 02:55:04",
          "content": "<p>Great, I will be looking for it,<br>\nI also could not use as started late.Bigger image could have been better.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 973067,
      "author_name": "arachauhan",
      "author_url": "",
      "post_date": "08/17/2020 04:59:31",
      "content": "<p>Good ,Yeah just a new thought..quiet impressive </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 972173,
      "author_name": "spiderweb3009",
      "author_url": "",
      "post_date": "08/16/2020 09:49:45",
      "content": "<p>using VGG19 can also be good choice for discriminator model.</p>",
      "votes": null,
      "replies": [
        {
          "id": 972181,
          "author_name": "rajnishe",
          "author_url": "",
          "post_date": "08/16/2020 09:59:47",
          "content": "<p>yes, for sure , more deep will be better</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 972209,
          "author_name": "spiderweb3009",
          "author_url": "",
          "post_date": "08/16/2020 10:37:01",
          "content": "<p>Yes for sure and finning tunning the model will get you the desired results</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "971765": "I started working on GAN to generate images. Could be useful .\nI thought of using VGG16 and tried to create discriminator based on VGG16.\n\n- https://www.kaggle.com/rajnishe/gan-image-model\n\n- Training part completed\n\nWHAT TO DO:\n- Check the reference cell on how to create images from trained model 😊\n   May not be useful for this competition but may for some other\n\nRead the paper\n- https://ars.els-cdn.com/content/image/1-s2.0-S1361841519300568-fx1_lrg.jpg",
    "972173": "using VGG19 can also be good choice for discriminator model.",
    "972181": "yes, for sure , more deep will be better",
    "972209": "Yes for sure and finning tunning the model will get you the desired results",
    "972323": "I have a beginner level silly question. What advantage does the generated images offer in this dataset?",
    "972387": "There are very less positive class images , GAN can be used to generate more images based on competition data.\nThere is one paper , to use only discriminator to do prediction\n- https://ars.els-cdn.com/content/image/1-s2.0-S1361841519300568-fx1_lrg.jpg",
    "972457": "Thanks for explaining. I will check out the paper for further insights.",
    "972766": "I've trained a stylegan based model for 128x128 sized images (I couldn't do bigger images as I started training too late). I saw a little improvement in cv, but results didn't keep up on the lb. I will however share the approach as well as the weights as soon as the competition ends if someone is interested :)",
    "972990": "Great, I will be looking for it,\nI also could not use as started late.Bigger image could have been better.",
    "973067": "Good ,Yeah just a new thought..quiet impressive"
  },
  "source": "meta"
}