{
  "id": 44427,
  "title": "Understanding deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras",
  "url": "/competitions/dogs-vs-cats-redux-kernels-edition/discussion/44427",
  "author_name": "",
  "post_date": "2017-11-28T15:06:51.170885800Z",
  "votes": 12,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I wrote an article on this dataset. It's a practical tutorial to understand Deep Convolutional Neural Networks with a concrete application in image classification.</p>\n\n<p>This is also a hands-on guide to setup a deep learning dedicated machine on AWS and develop an end-to-end  model from scratch using Keras and Tensorflow.</p>\n\n<p>I share many tips and tricks on  the dev part (data augmentation, transfer learning, dropout),  and also point to many references I used.</p>\n\n<p>No BS, all the code is available to test and run.</p>\n\n<p>Here's the link: <a href=\"https://ahmedbesbes.com/understanding-deep-convolutional-neural-networks-with-a-practical-use-case-in-tensorflow-and-keras.html\">https://ahmedbesbes.com/understanding-deep-convolutional-neural-networks-with-a-practical-use-case-in-tensorflow-and-keras.html</a></p>\n\n<p>python code in github: <a href=\"https://lnkd.in/drhY3nx\">https://lnkd.in/drhY3nx</a></p>",
  "messages": [
    {
      "id": "249473",
      "postDate": "11/28/2017 15:06:51",
      "content": "<p>I wrote an article on this dataset. It's a practical tutorial to understand Deep Convolutional Neural Networks with a concrete application in image classification.</p>\n\n<p>This is also a hands-on guide to setup a deep learning dedicated machine on AWS and develop an end-to-end  model from scratch using Keras and Tensorflow.</p>\n\n<p>I share many tips and tricks on  the dev part (data augmentation, transfer learning, dropout),  and also point to many references I used.</p>\n\n<p>No BS, all the code is available to test and run.</p>\n\n<p>Here's the link: <a href=\"https://ahmedbesbes.com/understanding-deep-convolutional-neural-networks-with-a-practical-use-case-in-tensorflow-and-keras.html\">https://ahmedbesbes.com/understanding-deep-convolutional-neural-networks-with-a-practical-use-case-in-tensorflow-and-keras.html</a></p>\n\n<p>python code in github: <a href=\"https://lnkd.in/drhY3nx\">https://lnkd.in/drhY3nx</a></p>",
      "rawMarkdown": "I wrote an article on this dataset. It's a practical tutorial to understand Deep Convolutional Neural Networks with a concrete application in image classification.\n\nThis is also a hands-on guide to setup a deep learning dedicated machine on AWS and develop an end-to-end  model from scratch using Keras and Tensorflow.\n\nI share many tips and tricks on  the dev part (data augmentation, transfer learning, dropout),  and also point to many references I used.\n\nNo BS, all the code is available to test and run.\n\nHere's the link: https://ahmedbesbes.com/understanding-deep-convolutional-neural-networks-with-a-practical-use-case-in-tensorflow-and-keras.html\n\npython code in github: https://lnkd.in/drhY3nx",
      "votes": null
    },
    {
      "id": "951522",
      "postDate": "07/30/2020 07:31:50",
      "content": "<p>Good Informatics Resources. </p>\n\n<p>Thanks for sharing. <a href=\"/ahmedbesbes\">@ahmedbesbes</a> </p>",
      "rawMarkdown": "Good Informatics Resources. \n\nThanks for sharing. @ahmedbesbes",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 951522,
      "author_name": "vikasukani",
      "author_url": "",
      "post_date": "07/30/2020 07:31:50",
      "content": "<p>Good Informatics Resources. </p>\n\n<p>Thanks for sharing. <a href=\"/ahmedbesbes\">@ahmedbesbes</a> </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "249473": "I wrote an article on this dataset. It's a practical tutorial to understand Deep Convolutional Neural Networks with a concrete application in image classification.\n\nThis is also a hands-on guide to setup a deep learning dedicated machine on AWS and develop an end-to-end  model from scratch using Keras and Tensorflow.\n\nI share many tips and tricks on  the dev part (data augmentation, transfer learning, dropout),  and also point to many references I used.\n\nNo BS, all the code is available to test and run.\n\nHere's the link: https://ahmedbesbes.com/understanding-deep-convolutional-neural-networks-with-a-practical-use-case-in-tensorflow-and-keras.html\n\npython code in github: https://lnkd.in/drhY3nx",
    "951522": "Good Informatics Resources. \n\nThanks for sharing. @ahmedbesbes"
  },
  "source": "meta"
}