PRESENTS
Pluralsight
Research Vs Reality In Ai Would You Trust Your Model With Your Life
Date...: 2020-06-07
Type...: Bookware
Disks..: 7x15MB
Notes..: Big Data LDN 2019 | Research vs.
Reality in AI: Would You Trust Your
Model with Your Life? | Heather Gorr
There are many considerations before
deploying deep learning models into
the real world, especially in safety-
critical environments like automated
driving, smart medical devices,
aerospace, and biomedical
applications. A deep learning
researcher can achieve 99% accuracy on
a deep learning model, but what about
the edge cases? What if those edge
cases represent someone's life? Is AI
ready to move from research to
reality? Model accuracy is only one
part of a production-ready system,
which also includes: model
justification and documentation,
rigorous testing, use of specialized
hardware (GPUs, FPGAs, cloud
resources, etc.), and collaboration
between multiple people with various
expertise related to the project and
system. In this session, Heather Gorr
will discuss the importance of
explainable models, system design, and
testing before an AI system is
production-ready.
Install: Unpack, Wise up and Enjoy!
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