One of the largest global insurance firm recently introduced TensorFlow, the open source library from Google for machine intelligence, for classifying car drivers who has high likelihood on major accidents with deep neural network. The model provides 2x higher accuracy compared with existing random forest model, gives them a possibility to lower the insurance price significantly. Also, a cucumber farmer in Japan has been using TensorFlow to build a hand-made sorter that classifies cucumbers into 9 classes based on its length, shape and color. At this session, we'll look at how TensorFlow democratizes the power of machine intelligence and is changing the world with many different real-world use cases of the technology.
Kaz Sato is Staff Developer Advocate at Google Cloud for machine learning and AI products, such as TensorFlow, Cloud AI and BigQuery. Kaz has been invited as a speaker at major events including Google Cloud Next, Google I/O, NVIDIA GTC and etc. Also, authoring many GCP blog posts... Read More →
Tuesday September 12, 2017 11:05am - 11:45am PDT
Plaza III