TensorFlow in the Wild (or the Democratization of Machine Learning)

Speaker:        Kaz Sato
                Staff Developer Advocate, Google Cloud
                Google Inc.

Title:          "TensorFlow in the Wild (or the Democratization of Machine
                 Learning)"

Date:           Thursday, 13 April 2017

Time:           3:00pm - 4:00pm

Venue:          Lecture Theater F (near lifts 25/26), HKUST

Abstract:

TensorFlow, the open source library from Google, has been democratizing
the world of machine intelligence since its launch in 2015. With
TensorFlow, combined with the scalability of Google's Cloud Machine
Learning Engine, now anyone can leverage deep learning technology cheaply
and without much expertise. We will explore three examples of business
that have adopted TensorFlow and Cloud ML to solve their real-world
problems: a cucumber farmer in Japan who was able to build a deep
learning-based cucumber sorter by himself, a used car auction service
using TF for classifying car models and parts with 86x better training
performance, and a global insurance company that has been able to increase
prediction accuracy significantly on accident cases.


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Biography:

Kaz Sato is Staff Developer Advocate at Cloud Platform team, Google Inc.
Focusing on Machine Learning and Data Analytics products, such as
TensorFlow, Cloud ML and BigQuery. Invited to major events including
Google Cloud Next '17 SF, Google I/O 2016 and 2017, Strata+Hadoop World
London 2017, San Jose and NYC 2016, Hadoop Summit 2016, ODSC East 2016 and
2017. Kaz also has been leading and supporting developer communities for
Google Cloud for over 8 years. He is also interested in hardwares and IoT,
and has been hosting FPGA meetups since 2013.