{
  "id": 155517,
  "title": "Simple guide to Transfer Learning with Keras",
  "url": "/competitions/dogs-vs-cats/discussion/155517",
  "author_name": "aqx",
  "post_date": "2020-06-02T02:04:03.945000",
  "votes": 1,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Dear fellow Kagglers,\nI have put up a notebook that serve as a guide to using pre-trained CNN models (VGG16, Resnet)  for transfer learning; \n1. Using VGG16 feature extractor that will subsequently be fed into logistic regression. \n2. Fine-tuning the last few layers in the pre trained Resnet. </p>\n\n<p>Do take a look if you are interested in using Keras to implement transfer learning and any feedback will be much appreciated!</p>\n\n<p>Thank you:)</p>",
  "messages": [
    {
      "id": 870871,
      "postDate": "2020-06-02T02:04:03.947Z",
      "content": "<p>Dear fellow Kagglers,\nI have put up a notebook that serve as a guide to using pre-trained CNN models (VGG16, Resnet)  for transfer learning; \n1. Using VGG16 feature extractor that will subsequently be fed into logistic regression. \n2. Fine-tuning the last few layers in the pre trained Resnet. </p>\n\n<p>Do take a look if you are interested in using Keras to implement transfer learning and any feedback will be much appreciated!</p>\n\n<p>Thank you:)</p>",
      "rawMarkdown": "Dear fellow Kagglers,\nI have put up a notebook that serve as a guide to using pre-trained CNN models (VGG16, Resnet)  for transfer learning; \n1. Using VGG16 feature extractor that will subsequently be fed into logistic regression. \n2. Fine-tuning the last few layers in the pre trained Resnet. \n\nDo take a look if you are interested in using Keras to implement transfer learning and any feedback will be much appreciated!\n\nThank you:)",
      "votes": 1
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "870871": "Dear fellow Kagglers,\nI have put up a notebook that serve as a guide to using pre-trained CNN models (VGG16, Resnet)  for transfer learning; \n1. Using VGG16 feature extractor that will subsequently be fed into logistic regression. \n2. Fine-tuning the last few layers in the pre trained Resnet. \n\nDo take a look if you are interested in using Keras to implement transfer learning and any feedback will be much appreciated!\n\nThank you:)"
  }
}