{
  "id": 426580,
  "title": "Top 1% Simple Keras",
  "url": "/competitions/digit-recognizer/discussion/426580",
  "author_name": "Cody_Null",
  "post_date": "2023-07-24T09:21:50.749000",
  "votes": 3,
  "comment_count": 2,
  "views": null,
  "content": "<p>This is my first time trying the MNIST problem and I figured I could share my results! I managed to get 99.5% accuracy with my simple code without training on the full dataset as I see quite a few have. As this is my first time and I will be building another CNN for my workplace soon please let me know what you think! You can find it here! <a href=\"https://www.kaggle.com/code/cody11null/simple-keras-deep-learning-top-1\" target=\"_blank\">https://www.kaggle.com/code/cody11null/simple-keras-deep-learning-top-1</a></p>",
  "messages": [
    {
      "id": 2356571,
      "postDate": "2023-07-24T09:21:50.750Z",
      "content": "<p>This is my first time trying the MNIST problem and I figured I could share my results! I managed to get 99.5% accuracy with my simple code without training on the full dataset as I see quite a few have. As this is my first time and I will be building another CNN for my workplace soon please let me know what you think! You can find it here! <a href=\"https://www.kaggle.com/code/cody11null/simple-keras-deep-learning-top-1\" target=\"_blank\">https://www.kaggle.com/code/cody11null/simple-keras-deep-learning-top-1</a></p>",
      "rawMarkdown": "This is my first time trying the MNIST problem and I figured I could share my results! I managed to get 99.5% accuracy with my simple code without training on the full dataset as I see quite a few have. As this is my first time and I will be building another CNN for my workplace soon please let me know what you think! You can find it here! https://www.kaggle.com/code/cody11null/simple-keras-deep-learning-top-1",
      "votes": 3
    },
    {
      "id": 2358357,
      "postDate": "2023-07-25T13:06:49.630Z",
      "content": "<p>well done man</p>",
      "rawMarkdown": "well done man"
    },
    {
      "id": 2356727,
      "postDate": "2023-07-24T10:47:03.613Z",
      "content": "<p>Well done cody <a href=\"https://www.kaggle.com/cody11null\" target=\"_blank\">@cody11null</a> </p>",
      "rawMarkdown": "Well done cody @cody11null "
    }
  ],
  "comments": [
    {
      "id": 2358357,
      "author_name": "Antonio Lentini",
      "author_url": "",
      "post_date": "2023-07-25T13:06:49.630000",
      "content": "<p>well done man</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 2356727,
      "author_name": "Diaa ELdyin Essam Zaki",
      "author_url": "",
      "post_date": "2023-07-24T10:47:03.613000",
      "content": "<p>Well done cody <a href=\"https://www.kaggle.com/cody11null\" target=\"_blank\">@cody11null</a> </p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2356571": "This is my first time trying the MNIST problem and I figured I could share my results! I managed to get 99.5% accuracy with my simple code without training on the full dataset as I see quite a few have. As this is my first time and I will be building another CNN for my workplace soon please let me know what you think! You can find it here! https://www.kaggle.com/code/cody11null/simple-keras-deep-learning-top-1",
    "2358357": "well done man",
    "2356727": "Well done cody @cody11null "
  }
}