You don't know what "dropout" is: creating cutting-edge technologies on a stream [ru]

Talk video

Talk presentation

Most of the basic techniques in ML, including dropout, are used by 9 out of 10 professionals without understanding how they work.

And the creation of breakthrough technologies requires a deep understanding of the basic principles.

  • What ML practice in Reface is?
  • Why doesn't everyone "think and understand what you're doing"?
  • How to put the production of new approaches on the stream?
Oleksiy Chaplygin
  • VP of Engineering at Reface.
  • He's responsible for product and technology development, implementation of new ML functions, and responsible use of synthetic media.
  • Tech-professional with 10 years of experience, 6 years in ML.
  • Alexey is a physicist. He started studying machine learning and data science on his own 5 years ago. Prior to that, he worked as a development engineer for 6 years.In 2013 he moved to the Netherlands, where he still lives.
  • He independently built a data science department at PVH Europe from scratch.
  • In 2020, he published his own development of an online fitting room based on full-body-swap technology Beyond Belief.
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