machine-music-exploring-machine-learning-by-generating-music-or-how-to-teach-a-computer-to-rock-out.json

{
  "copyright_text": "Creative Commons Attribution license (reuse allowed)",
  "description": "This talk will go through the ups and downs of a machine learning    beginner trying to create a Recurrent Neural Network (RNN) to implement    a music generating algorithm. We will build off of Gabe\u2019s PyGotham 2016    talk (The Sounds Of Data: https://www.youtube.com/watch?v=vb9c\\_WFMYeI)    and will attempt to implement an RNN based on Alex Graves\u2019 GeneratingSequences With Recurrent Neural Networks    (https://arxiv.org/pdf/1308.0850.pdf).\n\nGabe Levine is a `musician`_    turned `software engineer`_, and Jonathan Arfa is a `Statistics and     Machine Learning enthusiast`_\n\n.. _musician: http://pitchfork.com/reviews/albums/12049-migration/\n.. _software engineer: https://github.com/gabelev\n.. _Statistics and Machine Learning enthusiast: https://github.com/jarfa",
  "duration": 1500,
  "language": "eng",
  "recorded": "2017-10-07",
  "related_urls": [
    "https://2017.pygotham.org/talks/machine-music-exploring-machine-learning-by-generating-music-or-how-to-teach-a-computer-to-rock-out/"
  ],
  "speakers": [
    "Gabe Levine",
    "Jonathan Arfa"
  ],
  "tags": [],
  "thumbnail_url": "https://i.ytimg.com/vi/grC-DzuNSmM/maxresdefault.jpg",
  "title": "Machine Music: Exploring Machine Learning By Generating Music Or How To Teach A Computer To Rock Out",
  "videos": [
    {
      "type": "youtube",
      "url": "https://www.youtube.com/watch?v=grC-DzuNSmM"
    }
  ]
}