{
  "id": 103153,
  "title": "Interactive Tools for ML, Deep Learning and Math",
  "url": "/competitions/aptos2019-blindness-detection/discussion/103153",
  "author_name": "YaGana Sheriff-Hussaini",
  "post_date": "2019-08-07T14:08:37.571000",
  "votes": 0,
  "comment_count": 0,
  "views": 0,
  "content": "<p>I thought the following would be of interest to the Kaggle community.</p>\n\n<p><a href=\"https://github.com/Machine-Learning-Tokyo/Interactive_Tools\">https://github.com/Machine-Learning-Tokyo/Interactive_Tools</a></p>\n\n<p>Interactive Tools - Play with GANs in the Browser</p>\n\n<p>Explore Generative Adversarial Networks directly in the browser with GAN Lab. There are many cool features that support interactive experimentation.</p>\n\n<p>Interactive hyperparameter adjustment\nUser-defined data distribution\nSlow-motion mode\nManual step-by-step execution</p>",
  "messages": [
    {
      "id": 594065,
      "postDate": "2019-08-07T14:08:37.570Z",
      "content": "<p>I thought the following would be of interest to the Kaggle community.</p>\n\n<p><a href=\"https://github.com/Machine-Learning-Tokyo/Interactive_Tools\">https://github.com/Machine-Learning-Tokyo/Interactive_Tools</a></p>\n\n<p>Interactive Tools - Play with GANs in the Browser</p>\n\n<p>Explore Generative Adversarial Networks directly in the browser with GAN Lab. There are many cool features that support interactive experimentation.</p>\n\n<p>Interactive hyperparameter adjustment\nUser-defined data distribution\nSlow-motion mode\nManual step-by-step execution</p>",
      "rawMarkdown": "I thought the following would be of interest to the Kaggle community.\n\nhttps://github.com/Machine-Learning-Tokyo/Interactive_Tools\n\nInteractive Tools - Play with GANs in the Browser\n\nExplore Generative Adversarial Networks directly in the browser with GAN Lab. There are many cool features that support interactive experimentation.\n\nInteractive hyperparameter adjustment\nUser-defined data distribution\nSlow-motion mode\nManual step-by-step execution\n"
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "594065": "I thought the following would be of interest to the Kaggle community.\n\nhttps://github.com/Machine-Learning-Tokyo/Interactive_Tools\n\nInteractive Tools - Play with GANs in the Browser\n\nExplore Generative Adversarial Networks directly in the browser with GAN Lab. There are many cool features that support interactive experimentation.\n\nInteractive hyperparameter adjustment\nUser-defined data distribution\nSlow-motion mode\nManual step-by-step execution\n"
  }
}