{
  "id": 67071,
  "title": "Google Experiments are super Fun !! Some Interesting Reads",
  "url": "/competitions/quickdraw-doodle-recognition/discussion/67071",
  "author_name": "Vishy",
  "post_date": "2018-09-28T12:26:30.437000",
  "votes": 7,
  "comment_count": 0,
  "views": 0,
  "content": "<p>I was intrigued by the kind of problems that are posted by Google AI recently in Kaggle, here is the Order in reverse chronological order are Object Detection, Visual Recognition, Video Recognition, Landmark Recognition and Landmark Retrieval.</p>\n\n<p>This is another cool competition and looked up to find more the Quick draw app and found the following links fascinating to explore and know about this, I hope it is useful for you all !!</p>\n\n<p>a. This <a href=\"https://experiments.withgoogle.com/collection/ai\">page</a> has lot of more AI experiments, these could turnout to be future problems too which are fun.\nb. Google ai <a href=\"https://ai.googleblog.com/2017/04/teaching-machines-to-draw.html\">blog</a> talking about the teaching machines to draw and a useful paper from <a href=\"https://arxiv.org/pdf/1704.03477.pdf\">here</a>\nc. A y-combinator <a href=\"https://news.ycombinator.com/item?id=14114706\">page</a> talking about the use case\nd. Magenta Tensorflow page on <a href=\"https://magenta.tensorflow.org/sketch_rnn\">this</a> and the useful lead of a github <a href=\"https://github.com/tensorflow/magenta/tree/master/magenta/models/sketch_rnn\">repo</a> of SketchRNN</p>",
  "messages": [
    {
      "id": 395358,
      "postDate": "2018-09-28T12:26:30.437Z",
      "content": "<p>I was intrigued by the kind of problems that are posted by Google AI recently in Kaggle, here is the Order in reverse chronological order are Object Detection, Visual Recognition, Video Recognition, Landmark Recognition and Landmark Retrieval.</p>\n\n<p>This is another cool competition and looked up to find more the Quick draw app and found the following links fascinating to explore and know about this, I hope it is useful for you all !!</p>\n\n<p>a. This <a href=\"https://experiments.withgoogle.com/collection/ai\">page</a> has lot of more AI experiments, these could turnout to be future problems too which are fun.\nb. Google ai <a href=\"https://ai.googleblog.com/2017/04/teaching-machines-to-draw.html\">blog</a> talking about the teaching machines to draw and a useful paper from <a href=\"https://arxiv.org/pdf/1704.03477.pdf\">here</a>\nc. A y-combinator <a href=\"https://news.ycombinator.com/item?id=14114706\">page</a> talking about the use case\nd. Magenta Tensorflow page on <a href=\"https://magenta.tensorflow.org/sketch_rnn\">this</a> and the useful lead of a github <a href=\"https://github.com/tensorflow/magenta/tree/master/magenta/models/sketch_rnn\">repo</a> of SketchRNN</p>",
      "rawMarkdown": "I was intrigued by the kind of problems that are posted by Google AI recently in Kaggle, here is the Order in reverse chronological order are Object Detection, Visual Recognition, Video Recognition, Landmark Recognition and Landmark Retrieval.\n\nThis is another cool competition and looked up to find more the Quick draw app and found the following links fascinating to explore and know about this, I hope it is useful for you all !!\n\na. This [page][1] has lot of more AI experiments, these could turnout to be future problems too which are fun.\nb. Google ai [blog][2] talking about the teaching machines to draw and a useful paper from [here][3]\nc. A y-combinator [page][4] talking about the use case\nd. Magenta Tensorflow page on [this][5] and the useful lead of a github [repo][6] of SketchRNN\n\n\n  [1]: https://experiments.withgoogle.com/collection/ai\n  [2]: https://ai.googleblog.com/2017/04/teaching-machines-to-draw.html\n  [3]: https://arxiv.org/pdf/1704.03477.pdf\n  [4]: https://news.ycombinator.com/item?id=14114706\n  [5]: https://magenta.tensorflow.org/sketch_rnn\n  [6]: https://github.com/tensorflow/magenta/tree/master/magenta/models/sketch_rnn",
      "votes": 7
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "395358": "I was intrigued by the kind of problems that are posted by Google AI recently in Kaggle, here is the Order in reverse chronological order are Object Detection, Visual Recognition, Video Recognition, Landmark Recognition and Landmark Retrieval.\n\nThis is another cool competition and looked up to find more the Quick draw app and found the following links fascinating to explore and know about this, I hope it is useful for you all !!\n\na. This [page][1] has lot of more AI experiments, these could turnout to be future problems too which are fun.\nb. Google ai [blog][2] talking about the teaching machines to draw and a useful paper from [here][3]\nc. A y-combinator [page][4] talking about the use case\nd. Magenta Tensorflow page on [this][5] and the useful lead of a github [repo][6] of SketchRNN\n\n\n  [1]: https://experiments.withgoogle.com/collection/ai\n  [2]: https://ai.googleblog.com/2017/04/teaching-machines-to-draw.html\n  [3]: https://arxiv.org/pdf/1704.03477.pdf\n  [4]: https://news.ycombinator.com/item?id=14114706\n  [5]: https://magenta.tensorflow.org/sketch_rnn\n  [6]: https://github.com/tensorflow/magenta/tree/master/magenta/models/sketch_rnn"
  }
}