Distributed Deep Learning Workshop with Scala, Akka, and Spark

[Alexy Khrabrov <al...@scalable.pro>]

On September 25-26, SF Scala teams up with Adam Gibson, the creator of
deeplearning4j.org, to teach the first ever Distributed Deep Learning
with Scala Akka, and Spark workshop.  Deep Learning is enabling
break-through advances in the areas such as image recognition and
natural language processing.  It is a renaissance of neural networks,
made possible by the vast quantities of data to train them, so that
they match human performance on a variety of tasks.  Deep Learning is
causing a lot of interest across a variety startups understanding
domains backed by “big" data, as it’s one of the “easiest” ways to
make sense out of data — once you put the algorithms and systems in
place making it possible.  It turns out that in order to take
advantage of the “big” data available, you need to scale out properly
— and this is where Scala, Akka, and Spark shine.  We’ll present a
distributed system approach which makes you, armed with Scala stack, a
rival of Google.  As we’re offering this course for the first time,
we’re keeping the early bird pricing longer for this workshop.
Seating is very limited as we’ll work collaboratively.  Please sign up
at

http://bythebay.ticketleap.com/deep-learning-september-2014/

SF Scala is also offering the Typesafe-certified course, Fast Track to Scala.

http://bythebay.ticketleap.com/fast-track-to-scala/

Scala is underpinning multiple Machine Learning stacks such as
FACTORIE, ScalaNLP, and has fantastic numerical libraries such as
Breeze, Spire, and Saddle.  Scala is at the heart of Spark and BDAS.
It is the choice of data scientists who want their prototypes work at
web-scale and be ready for production.  This hands-on workshop will
get you from zero to Scala hero in just two days.

If you have any questions about these courses, please email
training@bythebay.io.

A+ (Alexy)

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