{
  "id": 101013,
  "title": "way to interpret generator and discriminator loss?",
  "url": "/competitions/generative-dog-images/discussion/101013",
  "author_name": "saewonYang",
  "post_date": "2019-07-22T16:21:27.701000",
  "votes": 0,
  "comment_count": 0,
  "views": 0,
  "content": "<p>thanks to Chris. I can now interpret the loss of discriminator and generator when using basic gan\n<a href=\"https://www.kaggle.com/c/generative-dog-images/discussion/99613\">https://www.kaggle.com/c/generative-dog-images/discussion/99613</a></p>\n\n<p>however I'm sure that not everyone is using just basic loss. in the public kernel\nthere is RaLS, Ra, etc... (don't know many gans yet)\nis there any tips on looking at the discriminator and generator loss?</p>\n\n<p>I think better understanding of looking at these losses is the key to well fitting the GAN. am I right? If I can interpret these.. I would know which one to change.</p>\n\n<p>any comment would be appreciated thanks!</p>",
  "messages": [
    {
      "id": 581996,
      "postDate": "2019-07-22T16:21:27.700Z",
      "content": "<p>thanks to Chris. I can now interpret the loss of discriminator and generator when using basic gan\n<a href=\"https://www.kaggle.com/c/generative-dog-images/discussion/99613\">https://www.kaggle.com/c/generative-dog-images/discussion/99613</a></p>\n\n<p>however I'm sure that not everyone is using just basic loss. in the public kernel\nthere is RaLS, Ra, etc... (don't know many gans yet)\nis there any tips on looking at the discriminator and generator loss?</p>\n\n<p>I think better understanding of looking at these losses is the key to well fitting the GAN. am I right? If I can interpret these.. I would know which one to change.</p>\n\n<p>any comment would be appreciated thanks!</p>",
      "rawMarkdown": "thanks to Chris. I can now interpret the loss of discriminator and generator when using basic gan\nhttps://www.kaggle.com/c/generative-dog-images/discussion/99613\n\nhowever I'm sure that not everyone is using just basic loss. in the public kernel\nthere is RaLS, Ra, etc... (don't know many gans yet)\nis there any tips on looking at the discriminator and generator loss?\n\nI think better understanding of looking at these losses is the key to well fitting the GAN. am I right? If I can interpret these.. I would know which one to change.\n\nany comment would be appreciated thanks!\n\n\n"
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "581996": "thanks to Chris. I can now interpret the loss of discriminator and generator when using basic gan\nhttps://www.kaggle.com/c/generative-dog-images/discussion/99613\n\nhowever I'm sure that not everyone is using just basic loss. in the public kernel\nthere is RaLS, Ra, etc... (don't know many gans yet)\nis there any tips on looking at the discriminator and generator loss?\n\nI think better understanding of looking at these losses is the key to well fitting the GAN. am I right? If I can interpret these.. I would know which one to change.\n\nany comment would be appreciated thanks!\n\n\n"
  }
}