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Streaming video
Author Hazen, Timothy, on-screen presenter

Title Customizing state-of-the-art deep learning models for new computer vision solutions / Timothy Hazen [and three others]
Published [Place of publication not identified] : O'Reilly, 2017


Description 1 online resource (1 streaming video file (37 min., 23 sec.))
Summary A presentation from the June 2017 O'Reilly Artificial Intelligence Conference in New York
"Dramatic progress has been made in computer vision: deep neural networks (DNNs) trained on tens of millions of images can now recognize thousands of different object types. These DNNs can also be easily customized to new use cases. Timothy Hazen shares simple methods and tools that enable you to adapt Microsoft's state-of-the-art DNNs for use in your own computer vision solutions."--Resource description page
Notes Title from title screen (viewed July 16, 2018)
Performer Presenter, Timothy Hazen
Subject O'Reilly Artificial Intelligence Conference (2017 : New York, N.Y.)
Machine learning.
Artificial intelligence.
Neural networks (Computer science)
Computer software.
Artificial Intelligence
Neural Networks, Computer
artificial intelligence.
Artificial intelligence.
Computer software.
Machine learning.
Neural networks (Computer science)
Form Streaming video
Author O'Reilly & Associates, publisher