{
  "id": 165092,
  "title": "Guide on how to submit Keras model",
  "url": "/competitions/landmark-retrieval-2020/discussion/165092",
  "author_name": "",
  "post_date": "2020-07-08T14:45:30.610310800Z",
  "votes": 3,
  "comment_count": 1,
  "views": 0,
  "content": "<p>For everyone wondering how to use Keras models for submission, I have made a minimalistic notebook detailing the steps:</p>\n\n<p><a href=\"https://www.kaggle.com/mayukh18/creating-submission-from-your-own-model\">https://www.kaggle.com/mayukh18/creating-submission-from-your-own-model</a></p>",
  "messages": [
    {
      "id": "920366",
      "postDate": "07/08/2020 14:45:30",
      "content": "<p>For everyone wondering how to use Keras models for submission, I have made a minimalistic notebook detailing the steps:</p>\n\n<p><a href=\"https://www.kaggle.com/mayukh18/creating-submission-from-your-own-model\">https://www.kaggle.com/mayukh18/creating-submission-from-your-own-model</a></p>",
      "rawMarkdown": "For everyone wondering how to use Keras models for submission, I have made a minimalistic notebook detailing the steps:\n\nhttps://www.kaggle.com/mayukh18/creating-submission-from-your-own-model",
      "votes": null
    },
    {
      "id": "923400",
      "postDate": "07/10/2020 19:55:19",
      "content": "<p>Did the same:\n<a href=\"https://www.kaggle.com/reflexion/google-landmark-retrieval-submit-keras-model\">Notebook</a></p>\n\n<p>Also includes resizing and normalizing and supports variable intput size [None,width,height,3] and output size [None, D].</p>",
      "rawMarkdown": "Did the same:\n[Notebook](https://www.kaggle.com/reflexion/google-landmark-retrieval-submit-keras-model)\n\nAlso includes resizing and normalizing and supports variable intput size [None,width,height,3] and output size [None, D].",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 923400,
      "author_name": "reflexion",
      "author_url": "",
      "post_date": "07/10/2020 19:55:19",
      "content": "<p>Did the same:\n<a href=\"https://www.kaggle.com/reflexion/google-landmark-retrieval-submit-keras-model\">Notebook</a></p>\n\n<p>Also includes resizing and normalizing and supports variable intput size [None,width,height,3] and output size [None, D].</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "920366": "For everyone wondering how to use Keras models for submission, I have made a minimalistic notebook detailing the steps:\n\nhttps://www.kaggle.com/mayukh18/creating-submission-from-your-own-model",
    "923400": "Did the same:\n[Notebook](https://www.kaggle.com/reflexion/google-landmark-retrieval-submit-keras-model)\n\nAlso includes resizing and normalizing and supports variable intput size [None,width,height,3] and output size [None, D]."
  },
  "source": "meta"
}