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  "source_url": "https://www.kaggle.com/competitions/2020aimnist/data",
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      "content": "MNIST 데이터셋",
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      "content": "12주차 MNIST분류 실습을 위한 캐글보드\n\n\n[실습 문제] NN을 이용한 MNIST 데이터 분류하기\n\n1) Random Init / NN Layer #1 (784=>10) / SGD / CrossEntropy\n\nhttps://colab.research.google.com/drive/15ArrVdJELyV-PeuATH5poe2uZoHm6Ih8 \n\n2) Random Init / NN Layer #1 (784=>10) / Adam / CrossEntropy\n\nhttps://colab.research.google.com/drive/1bimNZtout48XzSy7VoWbmdpOHQ-SAkHX \n\n3) Random Init / NN Layer #3 (784=>256=>10) / Adam / CrossEntropy\n\nhttps://colab.research.google.com/drive/1jsP6IkoSZW5roMip53QSPJjiVP6Ej3Zk \n\n4) Xavier Init / NN Layer #3 (784=>256=>10) / Adam / CrossEntropy\n\nhttps://colab.research.google.com/drive/1CI11CA5otqB7-RsQLKak3LJW3xeCUr9q \n\n5) Xavier Init / DNN Layer #5 (784=>256=>10) / Adam / CrossEntropy\n\nhttps://colab.research.google.com/drive/1y9qF3D4vbQVhX_dZCgplRuw_EcgW8Sg2 \n\n6) Xavier Init / DNN Layer #5 (784=>256=>256=>256=>10) / Adam / CrossEntropy / dropout (0.3)\n\nhttps://colab.research.google.com/drive/15Q5GSAPgsHeR0Y70zaiigHBBo4kwJ86o \n\n7) Xavier Init / NN Layer #5 (784=>256=256=>256=>10) / Adam / CrossEntropy / dropout (0.3) / Loss & Accuracy Plot\n\nhttps://colab.research.google.com/drive/1EzvjlRNjMvo4ECnFuxx6ReuXih_vPA8k \n\n",
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    {
      "name": "Evaluation",
      "content": "CategorizationAccuracy",
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    {
      "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!",
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