{
  "id": 192474,
  "title": "Deeplearning.ai GAN Specialization",
  "url": "/competitions/gan-getting-started/discussion/192474",
  "author_name": "James McGuigan",
  "post_date": "2020-10-21T18:05:55.219000",
  "votes": 2,
  "comment_count": 0,
  "views": 0,
  "content": "<p>For anybody wanting a more comprehensive overview of GANs, including key concepts, loss functions, trouble points such as bias and mode collapse, as well as an overview of different architectural designs, then the deeplearning.ai GAN specialization might be of interest to you.</p>\n<p>It's not that long (3 courses = 10 \"week\" modules) and I have been trying to rush through it in only two weeks (due to other project commitments), and I will probably need to follow it up with a textbook and a few personal projects. </p>\n<p>However, I've gained a good theoretical overview of the topic since starting the course and would recommend it to anybody getting started in this field.</p>\n<ul>\n<li><a href=\"https://www.deeplearning.ai/generative-adversarial-networks-specialization/\" target=\"_blank\">https://www.deeplearning.ai/generative-adversarial-networks-specialization/</a></li>\n<li><a href=\"https://www.coursera.org/specializations/generative-adversarial-networks-gans\" target=\"_blank\">https://www.coursera.org/specializations/generative-adversarial-networks-gans</a></li>\n</ul>",
  "messages": [
    {
      "id": 1056457,
      "postDate": "2020-10-21T18:05:55.220Z",
      "content": "<p>For anybody wanting a more comprehensive overview of GANs, including key concepts, loss functions, trouble points such as bias and mode collapse, as well as an overview of different architectural designs, then the deeplearning.ai GAN specialization might be of interest to you.</p>\n<p>It's not that long (3 courses = 10 \"week\" modules) and I have been trying to rush through it in only two weeks (due to other project commitments), and I will probably need to follow it up with a textbook and a few personal projects. </p>\n<p>However, I've gained a good theoretical overview of the topic since starting the course and would recommend it to anybody getting started in this field.</p>\n<ul>\n<li><a href=\"https://www.deeplearning.ai/generative-adversarial-networks-specialization/\" target=\"_blank\">https://www.deeplearning.ai/generative-adversarial-networks-specialization/</a></li>\n<li><a href=\"https://www.coursera.org/specializations/generative-adversarial-networks-gans\" target=\"_blank\">https://www.coursera.org/specializations/generative-adversarial-networks-gans</a></li>\n</ul>",
      "rawMarkdown": "For anybody wanting a more comprehensive overview of GANs, including key concepts, loss functions, trouble points such as bias and mode collapse, as well as an overview of different architectural designs, then the deeplearning.ai GAN specialization might be of interest to you.\n\nIt's not that long (3 courses = 10 \"week\" modules) and I have been trying to rush through it in only two weeks (due to other project commitments), and I will probably need to follow it up with a textbook and a few personal projects. \n\nHowever, I've gained a good theoretical overview of the topic since starting the course and would recommend it to anybody getting started in this field.\n\n- https://www.deeplearning.ai/generative-adversarial-networks-specialization/\n- https://www.coursera.org/specializations/generative-adversarial-networks-gans",
      "votes": 2
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1056457": "For anybody wanting a more comprehensive overview of GANs, including key concepts, loss functions, trouble points such as bias and mode collapse, as well as an overview of different architectural designs, then the deeplearning.ai GAN specialization might be of interest to you.\n\nIt's not that long (3 courses = 10 \"week\" modules) and I have been trying to rush through it in only two weeks (due to other project commitments), and I will probably need to follow it up with a textbook and a few personal projects. \n\nHowever, I've gained a good theoretical overview of the topic since starting the course and would recommend it to anybody getting started in this field.\n\n- https://www.deeplearning.ai/generative-adversarial-networks-specialization/\n- https://www.coursera.org/specializations/generative-adversarial-networks-gans"
  }
}