{
  "fetched_at": "2026-10-19T14:04:17Z",
  "source_url": "https://www.kaggle.com/competitions/cse512springhw3video/data",
  "pages": [
    {
      "name": "rules",
      "content": "The highest 3 entries can get 10 bonus points.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "data-description",
      "content": "Similar to homework 2, we use the UCF101 data (see http://crcv.ucf.edu/data/UCF101.php). There are also 10 classes of data in this homework but the actual classes and data are different from the homework 2. Each clip has 3 frames and each frame is $64*64$ pixels. The label of clips are in $q3\\_2\\_data.mat$. $trLb$ are labels for training clips and $valLb$ are labels for validation clips.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "<p>Try different hyper parameters of CNN to improve the classification accuracy.</p>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "<p>The results would be evaluated by Categorization Accuracy.<p>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}