TensorFlow in the Wild - Kaz Sato @ Google (Eng)

TensorFlow, the open source library for machine learning 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, and a global insurance company that has been able to increase prediction accuracy significantly on accident cases.

Bio:
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.