Presented By O’Reilly and Intel AI
Put AI to work
Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA

TensorFlow, deep learning, and modern convolutional neural nets, without a PhD (sponsored by Google)

Martin Görner (Google)
11:05am-11:45am Friday, September 7, 2018
Sponsored, TensorFlow at AI
 Location: Continental 6
Average rating: *****
(5.00, 2 ratings)
View slides

What you'll learn

  • Explore the newest developments in image recognition and convolutional neural network architectures
  • Learn tips, engineering best practices, and pointers to apply these techniques in your projects

Description

The hottest topics in computer science today are machine learning and deep neural networks. Many problems deemed “impossible” only five years ago have now been solved by deep learning, including playing Go, recognizing what is in an image, and translating languages. Software engineers are eager to adopt these new technologies as soon as they come out of research labs. Join in to learn how to do so.

Martin Görner explores the newest developments in image recognition and convolutional neural network architectures and shares tips, engineering best practices, and pointers to apply these techniques in your projects. No PhD required.

This session is sponsored by Google.

Photo of Martin Görner

Martin Görner

Google

Martin Görner works in developer relations at Google, where he focuses on parallel processing and machine learning. Passionate about science, technology, coding, algorithms, and everything in between, Martin’s first role was in the Computer Architecture Group at STMicroelectronics. He also spent 11 years shaping the nascent ebook market, starting at Mobipocket, which later became the software part of the Amazon Kindle and its mobile variants. He holds a degree from Mines Paris Tech.