{
  "id": 158149,
  "title": "KFold Implementation help",
  "url": "/competitions/siim-isic-melanoma-classification/discussion/158149",
  "author_name": "",
  "post_date": "2020-06-13T09:26:02.911259700Z",
  "votes": 3,
  "comment_count": 2,
  "views": 0,
  "content": "<p>I am confused with the part after creating folds and using them on the dataset for applying Neural Networks based Model.\nHere is my notebook\n<a href=\"https://www.kaggle.com/digvijayyadav/analyzing-melanoma-through-interactive-plots?rvi=1\">https://www.kaggle.com/digvijayyadav/analyzing-melanoma-through-interactive-plots?rvi=1</a>\nIf someone can guide me with this and share suitable materials that are related to this.</p>",
  "messages": [
    {
      "id": "884312",
      "postDate": "06/13/2020 09:26:02",
      "content": "<p>I am confused with the part after creating folds and using them on the dataset for applying Neural Networks based Model.\nHere is my notebook\n<a href=\"https://www.kaggle.com/digvijayyadav/analyzing-melanoma-through-interactive-plots?rvi=1\">https://www.kaggle.com/digvijayyadav/analyzing-melanoma-through-interactive-plots?rvi=1</a>\nIf someone can guide me with this and share suitable materials that are related to this.</p>",
      "rawMarkdown": "I am confused with the part after creating folds and using them on the dataset for applying Neural Networks based Model.\nHere is my notebook\nhttps://www.kaggle.com/digvijayyadav/analyzing-melanoma-through-interactive-plots?rvi=1\nIf someone can guide me with this and share suitable materials that are related to this.",
      "votes": null
    },
    {
      "id": "886223",
      "postDate": "06/14/2020 20:09:28",
      "content": "<p>You might want to take a look at <a href=\"https://www.kaggle.com/c/siim-isic-melanoma-classification/discussion/158395\">this discussion topic</a> and <a href=\"https://www.kaggle.com/graf10a/effnb0-tabular-features-tf-cv5-512x512\">this public notebook</a> illustrating how to implement 5-fold cross validation with both image and tabular data in Tensor Flow.</p>",
      "rawMarkdown": "You might want to take a look at [this discussion topic](https://www.kaggle.com/c/siim-isic-melanoma-classification/discussion/158395) and [this public notebook](https://www.kaggle.com/graf10a/effnb0-tabular-features-tf-cv5-512x512) illustrating how to implement 5-fold cross validation with both image and tabular data in Tensor Flow.",
      "votes": null
    },
    {
      "id": "886441",
      "postDate": "06/15/2020 03:41:37",
      "content": "<p>Thank you for the help <a href=\"/graf10a\">@graf10a</a> !!</p>",
      "rawMarkdown": "Thank you for the help @graf10a !!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 886223,
      "author_name": "graf10a",
      "author_url": "",
      "post_date": "06/14/2020 20:09:28",
      "content": "<p>You might want to take a look at <a href=\"https://www.kaggle.com/c/siim-isic-melanoma-classification/discussion/158395\">this discussion topic</a> and <a href=\"https://www.kaggle.com/graf10a/effnb0-tabular-features-tf-cv5-512x512\">this public notebook</a> illustrating how to implement 5-fold cross validation with both image and tabular data in Tensor Flow.</p>",
      "votes": null,
      "replies": [
        {
          "id": 886441,
          "author_name": "digvijayyadav",
          "author_url": "",
          "post_date": "06/15/2020 03:41:37",
          "content": "<p>Thank you for the help <a href=\"/graf10a\">@graf10a</a> !!</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "884312": "I am confused with the part after creating folds and using them on the dataset for applying Neural Networks based Model.\nHere is my notebook\nhttps://www.kaggle.com/digvijayyadav/analyzing-melanoma-through-interactive-plots?rvi=1\nIf someone can guide me with this and share suitable materials that are related to this.",
    "886223": "You might want to take a look at [this discussion topic](https://www.kaggle.com/c/siim-isic-melanoma-classification/discussion/158395) and [this public notebook](https://www.kaggle.com/graf10a/effnb0-tabular-features-tf-cv5-512x512) illustrating how to implement 5-fold cross validation with both image and tabular data in Tensor Flow.",
    "886441": "Thank you for the help @graf10a !!"
  },
  "source": "meta"
}