{
  "fetched_at": "2026-10-19T10:18:35Z",
  "source_url": "https://www.kaggle.com/competitions/2024-zju/data",
  "pages": [
    {
      "name": "data-description",
      "content": "This page appears alongside the data files. It describes what files have been provided and the format of each. There is no single format for this page that is appropriate for all competitions, but you should strive to describe as much as you can here. A little time spent describing the data here can save a lot of time answering questions later.\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "在这个竞赛提交你的课程设计代码。",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "Don't cheat!\nApply yourself!\nHave fun!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "abstract",
      "content": "本竞赛作为深度学习理论与实践课程设计内容，需要大家运用在本次课程学习中所学习到的知识完成对应的要求。\n具体内容为：利用本竞赛提供的cifar10数据集训练每位同学自己的神经网络，其中data_batch_1-5是训练集，test_batch是验证集。具体模型不做要求，可以自由发挥，将自己在课程学习中所学到的知识运用进来。在课程设计截止日期之后，我们会终止提交途径，以大家最后在本竞赛code部分提交的代码为准。\n提交代码的测试过程如下：选择cifar10数据集中间的三类（飞机、猫、青蛙），进行测试，分别得出不同的分类正确率，以得到的分类正确率的平均值作为课程设计部分的评分基准。\n课程设计部分的计分方法采用标准分计分。",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}