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CREATED;VALUE=DATE-TIME:20181126T180714Z
DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20181205T200000
DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20181205T180000
DTSTAMP;VALUE=DATE-TIME:20181126T180714Z
LAST-MODIFIED;VALUE=DATE-TIME:20181126T180714Z
UID:http://calagator.org/events/1250474597
DESCRIPTION:We're back to our discussion format so there will be no prese
 ntation this month. Instead be prepared to share your insights and exper
 iences on 1) privacy and ML and 2) The Fast.AI library.&#13\;\n&#13\;\nP
 rivacy for ML is a big topic so we'll start by reviewing the PySyft proj
 ect\, paper and tutorials. PySyft is a Python library for secure\, priva
 te Deep Learning. PySyft decouples private data from model training\, us
 ing Multi-Party Computation (MPC) within PyTorch. Links to materials are
  at: https://github.com/OpenMined/PySyft/tree/master/examples/tutorials&
 #13\;\n&#13\;\nFast.ai is a company dedicated to making the power of dee
 p learning accessible to all. They've done this with their live courses 
 at Unisversity of San Francisco\, the corresonding free online MOOC\, ma
 ny free talks and presentations\, and a deep learning framework built on
  top of PyTorch. I've heard many good things about the framework so lets
  dig into it and discuss it at the meeting. More info at: https://docs.f
 ast.ai\n\nTags: Deep Learning\, machine learning\, privacy\, fast.ai\n\n
 Imported from: http://calagator.org/events/1250474597
URL:https://www.meetup.com/Portland-Deep-Learning/events/gxllgqyxqbhb/
SUMMARY:Portland Deep Learning discussion topics: 1) privacy and ML and 2
 ) The Fast.AI library
LOCATION:The Tech Academy: 310 SW 4th Ave Suite 230\, Portland OR 97204 u
 s
SEQUENCE:1
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