{
  "total": 45,
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    {
      "id": 679442,
      "title": "Why are datasets into .7z , how is everyone dealing with this ",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 171272,
      "title": "Unable to extract test images from 7z file",
      "comment_count": 4,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 285115,
      "title": "My resNet36 model achieved the accuracy rate of 0.9875,but why the test only socred 0.1005?",
      "comment_count": 15,
      "views": 0,
      "votes": 17,
      "reused": true
    },
    {
      "id": 511459,
      "title": "Difficult in extraction of labels in train file of images",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 65357,
      "title": "Size of the folders after unzipping",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 251653,
      "title": "Not able to load dataset using below code in kaggle notebook....the same code works in google collab and jupyter",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 255454,
      "title": "[96%] Fine-tuning ResNet34 with PyTorch",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 207049,
      "title": "CIFAR-100 dataset",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 195874,
      "title": "CNN Structure for cifar 10",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 47798,
      "title": "Easily get 96.98% accuracy using MXNet",
      "comment_count": 2,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 194993,
      "title": "What is the better optimizer for cifar10 dataset?",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 152374,
      "title": "Can't load dataset",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 161628,
      "title": "my score is not showing in learderboard | why?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 37746,
      "title": "Leaderboard score missing",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 121404,
      "title": "My score not appearing in the leader ship board. Could anyone please help. Its important.",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 159835,
      "title": "can't extract test data?!",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 151662,
      "title": "Extracting Data Issues - Cannot Extract Test Fully",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 6318,
      "title": "What data prep you all are doing?",
      "comment_count": 17,
      "views": 16482,
      "votes": null,
      "reused": true
    },
    {
      "id": 82755,
      "title": "sampleSubmission.csv",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 125603,
      "title": "why I can not upload my result?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 7168,
      "title": "Converting the images to Grayscale ?",
      "comment_count": 3,
      "views": 3965,
      "votes": null,
      "reused": true
    },
    {
      "id": 110706,
      "title": "The preprocessed datasets.",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 100379,
      "title": "提交失败，无法得到训练的300000个数据",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 40237,
      "title": "Simple cnn 90%+",
      "comment_count": 20,
      "views": 0,
      "votes": 37,
      "reused": true
    },
    {
      "id": 6574,
      "title": "benchmark with no preprocessing",
      "comment_count": 5,
      "views": 4155,
      "votes": null,
      "reused": true
    },
    {
      "id": 83473,
      "title": "Cifar-10 RBF kernel 2 features ensemble [LB 0.9304]",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 81932,
      "title": "Anyone knows how are these junk images in the test-set created?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 7210,
      "title": "Using R",
      "comment_count": 8,
      "views": 5582,
      "votes": 1,
      "reused": true
    },
    {
      "id": 7022,
      "title": "Problem Downloading the CIFAR-10 Datasets",
      "comment_count": 2,
      "views": 2002,
      "votes": null,
      "reused": true
    },
    {
      "id": 54077,
      "title": "Reading The Data from CSV and Upload it to the List",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 8274,
      "title": "Extracting pixel data from images",
      "comment_count": 5,
      "views": 5869,
      "votes": 1,
      "reused": true
    },
    {
      "id": 38332,
      "title": "92% accuracy on Cifar-10 using Keras",
      "comment_count": 3,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 42790,
      "title": "got 0.9688 use mxnet gluon",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 33605,
      "title": "Kernels Lost?",
      "comment_count": 3,
      "views": 1,
      "votes": null,
      "reused": true
    },
    {
      "id": 33608,
      "title": "Is it possible?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 22559,
      "title": "Methods for Converting Images ",
      "comment_count": 1,
      "views": 560,
      "votes": null,
      "reused": true
    },
    {
      "id": 30313,
      "title": "Object recognition via fuzzy logic",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 29719,
      "title": "Mean subtraction with batch_norm?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 10493,
      "title": "Train you very own deep convolutional network",
      "comment_count": 7,
      "views": 20797,
      "votes": 27,
      "reused": true
    },
    {
      "id": 10100,
      "title": "Train & Test files download issue",
      "comment_count": 0,
      "views": 1470,
      "votes": 0
    },
    {
      "id": 6418,
      "title": "Tip for unpacking data on Linux",
      "comment_count": 2,
      "views": 2410,
      "votes": 4,
      "reused": true
    },
    {
      "id": 6202,
      "title": "Has anyone tried vowpal-wabbit ",
      "comment_count": 3,
      "views": 3529,
      "votes": null,
      "reused": true
    },
    {
      "id": 6109,
      "title": "Language specific ",
      "comment_count": 2,
      "views": 2431,
      "votes": null,
      "reused": true
    },
    {
      "id": 6127,
      "title": "invite me!",
      "comment_count": 0,
      "views": 1765,
      "votes": 0
    },
    {
      "id": 6054,
      "title": "Welcome!",
      "comment_count": 2,
      "views": 2440,
      "votes": 1,
      "reused": true
    }
  ],
  "errors": []
}