{
  "fetched_at": "2026-10-19T08:45:53Z",
  "source_url": "https://www.kaggle.com/competitions/fordham-deep-learning-hw1/data",
  "pages": [
    {
      "name": "data-description",
      "content": "<p>mnist.test.npy : Testing images in numpy array.</p>\n\n<p>mnist.train.npy : Trainning images in numpy array.</p>\n\n<p>mnist.trainlabel.npy : The labels of trainning images in numpy array.</p>\n\n<p>sample_submission.csv : Your submission format should like this, first columns is the test image id, and the second column is the category of your prediction.</p>\n",
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      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Description",
      "content": "<h2>Image Classification, multiclass.</h2>\n<p>In Kaggle: </p>\n<p>1. Submit your csv file of Q3(c) only</p>\n<p>2. Download your latest version of all code as notebook format including Q2 and Q3</p>\n<p>3. Download your all csv files including Q2 and Q3 in output folder</p>\n\n<p>In Blackboard: </p>\n<p>1. Submit your answer of Q1 in pdf file.</p>\n<p>2. Q2:\n</p><p> (1) submit a csv file of test data prediction</p>\n<p> (2) submit your all code as notebook format</p>\n<p>3. Q3:\n</p><p> (1) submit two csv files of test data prediction</p>\n<p> (2) submit your all code as notebook format </p>\n<p> (3) submit table 1 in pdf file</p>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
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    },
    {
      "name": "Timeline",
      "content": "<h2>Due: Oct. 6th 2021</h2>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}