{
  "id": 193068,
  "title": "Easy inspection of created models",
  "url": "/competitions/gan-getting-started/discussion/193068",
  "author_name": "",
  "post_date": "2020-10-25T07:40:58.285497400Z",
  "votes": 2,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Cheers everyone,</p>\n<p>made a tiny callback function (for Tensorflow) so that you can monitor the changes in performance over epochs. Feel free to use and adapt for each networks (or cycle) used.</p>\n<p>Just chose the picture you want to monitor before hand and let the training be, you'll generate a GIF at the end.</p>\n<p>Have a look on how it's done <a href=\"https://www.kaggle.com/matkneky/monet-cyclegan-trials\" target=\"_blank\">here</a>.</p>",
  "messages": [
    {
      "id": "1059514",
      "postDate": "10/25/2020 07:40:58",
      "content": "<p>Cheers everyone,</p>\n<p>made a tiny callback function (for Tensorflow) so that you can monitor the changes in performance over epochs. Feel free to use and adapt for each networks (or cycle) used.</p>\n<p>Just chose the picture you want to monitor before hand and let the training be, you'll generate a GIF at the end.</p>\n<p>Have a look on how it's done <a href=\"https://www.kaggle.com/matkneky/monet-cyclegan-trials\" target=\"_blank\">here</a>.</p>",
      "rawMarkdown": "Cheers everyone,\n\nmade a tiny callback function (for Tensorflow) so that you can monitor the changes in performance over epochs. Feel free to use and adapt for each networks (or cycle) used.\n\nJust chose the picture you want to monitor before hand and let the training be, you'll generate a GIF at the end.\n\nHave a look on how it's done [here](https://www.kaggle.com/matkneky/monet-cyclegan-trials).",
      "votes": null
    },
    {
      "id": "1059863",
      "postDate": "10/25/2020 14:53:14",
      "content": "<p>Hey <a href=\"https://www.kaggle.com/matkneky\" target=\"_blank\">@matkneky</a> that looks cool! I will try to add to my kernel later.</p>",
      "rawMarkdown": "Hey @matkneky that looks cool! I will try to add to my kernel later.",
      "votes": null
    },
    {
      "id": "1060388",
      "postDate": "10/26/2020 06:26:04",
      "content": "<p>thanks alot for sharing this..</p>",
      "rawMarkdown": "thanks alot for sharing this..",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1059863,
      "author_name": "dimitreoliveira",
      "author_url": "",
      "post_date": "10/25/2020 14:53:14",
      "content": "<p>Hey <a href=\"https://www.kaggle.com/matkneky\" target=\"_blank\">@matkneky</a> that looks cool! I will try to add to my kernel later.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1060388,
      "author_name": "hrideshkohli",
      "author_url": "",
      "post_date": "10/26/2020 06:26:04",
      "content": "<p>thanks alot for sharing this..</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1059514": "Cheers everyone,\n\nmade a tiny callback function (for Tensorflow) so that you can monitor the changes in performance over epochs. Feel free to use and adapt for each networks (or cycle) used.\n\nJust chose the picture you want to monitor before hand and let the training be, you'll generate a GIF at the end.\n\nHave a look on how it's done [here](https://www.kaggle.com/matkneky/monet-cyclegan-trials).",
    "1059863": "Hey @matkneky that looks cool! I will try to add to my kernel later.",
    "1060388": "thanks alot for sharing this.."
  },
  "source": "meta"
}