{
  "fetched_at": "2026-10-24T04:32:08Z",
  "source_url": "https://www.kaggle.com/competitions/cisc6000-deep-learning-hw3/data",
  "pages": [
    {
      "name": "data-description",
      "content": "Task One Image Genneration : celeba.zip\n\nTask Two Language Modeling : anna.txt",
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      "postTitle": "",
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    },
    {
      "name": "rules",
      "content": " - Don't cheat!\n - Apply yourself!\n - Have fun!",
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      "postTitle": "",
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    {
      "name": "Description",
      "content": "VAE and RNN\n\nIn Kaggle:\n\n1. Don't need to submit any csv file\n\n2. Download your latest version of all code as notebook format including Q2 and Q3\n\nIn Blackboard:\n\n1. Submit your table 1 and table 2, some graphs and some answers in pdf file.\n\n2. Submit your all code as notebook format including Q2 and Q3",
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      "hasMimeType": false
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