{
  "id": 185258,
  "title": "TensorFlow issue",
  "url": "/competitions/osic-pulmonary-fibrosis-progression/discussion/185258",
  "author_name": "",
  "post_date": "2020-09-20T05:42:17.748499300Z",
  "votes": null,
  "comment_count": 3,
  "views": 0,
  "content": "<p>How to get output of some convolution layers in TensorFlow</p>",
  "messages": [
    {
      "id": "1018978",
      "postDate": "09/20/2020 05:42:17",
      "content": "<p>How to get output of some convolution layers in TensorFlow</p>",
      "rawMarkdown": "How to get output of some convolution layers in TensorFlow",
      "votes": null
    },
    {
      "id": "1019178",
      "postDate": "09/20/2020 08:55:06",
      "content": "<p>I believe by output you mean shape after some layers then you can do <br>\n<code>model.summary()</code><br>\n to print the model structure and check the shape after every layer.</p>",
      "rawMarkdown": "I believe by output you mean shape after some layers then you can do \n```model.summary()```\n to print the model structure and check the shape after every layer.",
      "votes": null
    },
    {
      "id": "1019222",
      "postDate": "09/20/2020 09:31:49",
      "content": "<p>NO<br>\nin visualizing case we need to get the features and visualize it </p>",
      "rawMarkdown": "NO\nin visualizing case we need to get the features and visualize it",
      "votes": null
    },
    {
      "id": "1019255",
      "postDate": "09/20/2020 10:12:57",
      "content": "<p>You are probably looking for something like this.</p>\n<p><a href=\"https://towardsdatascience.com/visualizing-intermediate-activation-in-convolutional-neural-networks-with-keras-260b36d60d0\" target=\"_blank\">https://towardsdatascience.com/visualizing-intermediate-activation-in-convolutional-neural-networks-with-keras-260b36d60d0</a></p>",
      "rawMarkdown": "You are probably looking for something like this.\n\nhttps://towardsdatascience.com/visualizing-intermediate-activation-in-convolutional-neural-networks-with-keras-260b36d60d0",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1019178,
      "author_name": "ajay19",
      "author_url": "",
      "post_date": "09/20/2020 08:55:06",
      "content": "<p>I believe by output you mean shape after some layers then you can do <br>\n<code>model.summary()</code><br>\n to print the model structure and check the shape after every layer.</p>",
      "votes": null,
      "replies": [
        {
          "id": 1019222,
          "author_name": "morizin",
          "author_url": "",
          "post_date": "09/20/2020 09:31:49",
          "content": "<p>NO<br>\nin visualizing case we need to get the features and visualize it </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1019255,
      "author_name": "gunesevitan",
      "author_url": "",
      "post_date": "09/20/2020 10:12:57",
      "content": "<p>You are probably looking for something like this.</p>\n<p><a href=\"https://towardsdatascience.com/visualizing-intermediate-activation-in-convolutional-neural-networks-with-keras-260b36d60d0\" target=\"_blank\">https://towardsdatascience.com/visualizing-intermediate-activation-in-convolutional-neural-networks-with-keras-260b36d60d0</a></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1018978": "How to get output of some convolution layers in TensorFlow",
    "1019178": "I believe by output you mean shape after some layers then you can do \n```model.summary()```\n to print the model structure and check the shape after every layer.",
    "1019222": "NO\nin visualizing case we need to get the features and visualize it",
    "1019255": "You are probably looking for something like this.\n\nhttps://towardsdatascience.com/visualizing-intermediate-activation-in-convolutional-neural-networks-with-keras-260b36d60d0"
  },
  "source": "meta"
}