{
  "id": 303239,
  "title": "TensorFlow Learning helper Kit.",
  "url": "/competitions/tensorflow-great-barrier-reef/discussion/303239",
  "author_name": "",
  "post_date": "2022-01-26T15:47:44.388186700Z",
  "votes": 2,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Hi there , I am a student and want to learn Tensorflow (Model Sub classing API    in experts way), I ask you all to leave some good materials in comments : ( Kaggle Notebooks , GitHub repos  , YouTube Playlists , TPU usage guidelines , and many more things )</p>\n<p>Please help 🙋‍♂️ </p>",
  "messages": [
    {
      "id": "1665130",
      "postDate": "01/26/2022 15:47:44",
      "content": "<p>Hi there , I am a student and want to learn Tensorflow (Model Sub classing API    in experts way), I ask you all to leave some good materials in comments : ( Kaggle Notebooks , GitHub repos  , YouTube Playlists , TPU usage guidelines , and many more things )</p>\n<p>Please help 🙋‍♂️ </p>",
      "rawMarkdown": "Hi there , I am a student and want to learn Tensorflow (Model Sub classing API    in experts way), I ask you all to leave some good materials in comments : ( Kaggle Notebooks , GitHub repos  , YouTube Playlists , TPU usage guidelines , and many more things )\n\nPlease help 🙋‍♂️",
      "votes": null
    },
    {
      "id": "1665160",
      "postDate": "01/26/2022 16:10:25",
      "content": "<ul>\n<li>there is a great tutorial by <a href=\"https://www.kaggle.com/ipythonx\" target=\"_blank\">@ipythonx</a> on tf Model SubClassing <a href=\"https://innat.github.io/Model-SubClassing-and-Custom-Training-in-TensorFlow-2/\" target=\"_blank\">https://innat.github.io/Model-SubClassing-and-Custom-Training-in-TensorFlow-2/</a> this is the same as you write usual code in pytorch but its for tf.</li>\n<li>and tf.Data pipeline tutorial <a href=\"https://www.pyimagesearch.com/2021/06/14/a-gentle-introduction-to-tf-data-with-tensorflow/\" target=\"_blank\">https://www.pyimagesearch.com/2021/06/14/a-gentle-introduction-to-tf-data-with-tensorflow/</a> it helps to pass the data on the fly, so that you dont get OOM because of image size or the size of the dataset. Both are very useful while building DL models. </li>\n</ul>",
      "rawMarkdown": "there is a great tutorial by @ipythonx on tf Model SubClassing https://innat.github.io/Model-SubClassing-and-Custom-Training-in-TensorFlow-2/ this is the same as you write usual code in pytorch but its for tf.\n-  and tf.Data pipeline tutorial https://www.pyimagesearch.com/2021/06/14/a-gentle-introduction-to-tf-data-with-tensorflow/ it helps to pass the data on the fly, so that you dont get OOM because of image size or the size of the dataset. Both are very useful while building DL models.",
      "votes": null
    },
    {
      "id": "1665296",
      "postDate": "01/26/2022 17:49:29",
      "content": "<p>I would recommend a 'Hands-On machine learning with sckit-learn and Tensorflow 2'. The first part of this book is about general ML and sklearn. The second one - describes TensorFlow. I always recommend this book because it not only describes how to use TF, but also explains what magic is going on under the hook. Take a look at this book if you are interested in TF. It is a good place to start your journey.</p>",
      "rawMarkdown": "I would recommend a 'Hands-On machine learning with sckit-learn and Tensorflow 2'. The first part of this book is about general ML and sklearn. The second one - describes TensorFlow. I always recommend this book because it not only describes how to use TF, but also explains what magic is going on under the hook. Take a look at this book if you are interested in TF. It is a good place to start your journey.",
      "votes": null
    },
    {
      "id": "1665426",
      "postDate": "01/26/2022 20:19:50",
      "content": "<p>looks great , will check this one</p>",
      "rawMarkdown": "looks great , will check this one",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1665160,
      "author_name": "soumya9977",
      "author_url": "",
      "post_date": "01/26/2022 16:10:25",
      "content": "<ul>\n<li>there is a great tutorial by <a href=\"https://www.kaggle.com/ipythonx\" target=\"_blank\">@ipythonx</a> on tf Model SubClassing <a href=\"https://innat.github.io/Model-SubClassing-and-Custom-Training-in-TensorFlow-2/\" target=\"_blank\">https://innat.github.io/Model-SubClassing-and-Custom-Training-in-TensorFlow-2/</a> this is the same as you write usual code in pytorch but its for tf.</li>\n<li>and tf.Data pipeline tutorial <a href=\"https://www.pyimagesearch.com/2021/06/14/a-gentle-introduction-to-tf-data-with-tensorflow/\" target=\"_blank\">https://www.pyimagesearch.com/2021/06/14/a-gentle-introduction-to-tf-data-with-tensorflow/</a> it helps to pass the data on the fly, so that you dont get OOM because of image size or the size of the dataset. Both are very useful while building DL models. </li>\n</ul>",
      "votes": null,
      "replies": [
        {
          "id": 1665426,
          "author_name": "sarabhian",
          "author_url": "",
          "post_date": "01/26/2022 20:19:50",
          "content": "<p>looks great , will check this one</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1665296,
      "author_name": "meowmeowmeowmeowmeow",
      "author_url": "",
      "post_date": "01/26/2022 17:49:29",
      "content": "<p>I would recommend a 'Hands-On machine learning with sckit-learn and Tensorflow 2'. The first part of this book is about general ML and sklearn. The second one - describes TensorFlow. I always recommend this book because it not only describes how to use TF, but also explains what magic is going on under the hook. Take a look at this book if you are interested in TF. It is a good place to start your journey.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1665130": "Hi there , I am a student and want to learn Tensorflow (Model Sub classing API    in experts way), I ask you all to leave some good materials in comments : ( Kaggle Notebooks , GitHub repos  , YouTube Playlists , TPU usage guidelines , and many more things )\n\nPlease help 🙋‍♂️",
    "1665160": "there is a great tutorial by @ipythonx on tf Model SubClassing https://innat.github.io/Model-SubClassing-and-Custom-Training-in-TensorFlow-2/ this is the same as you write usual code in pytorch but its for tf.\n-  and tf.Data pipeline tutorial https://www.pyimagesearch.com/2021/06/14/a-gentle-introduction-to-tf-data-with-tensorflow/ it helps to pass the data on the fly, so that you dont get OOM because of image size or the size of the dataset. Both are very useful while building DL models.",
    "1665296": "I would recommend a 'Hands-On machine learning with sckit-learn and Tensorflow 2'. The first part of this book is about general ML and sklearn. The second one - describes TensorFlow. I always recommend this book because it not only describes how to use TF, but also explains what magic is going on under the hook. Take a look at this book if you are interested in TF. It is a good place to start your journey.",
    "1665426": "looks great , will check this one"
  },
  "source": "meta"
}