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Deep learning for health tech : neural network applications in healthcare using Python and TensorFlow

Author: Aileen Nielsen
Publisher: [Place of publication not identified] : O'Reilly Media, [2017]
Edition/Format:   eVideo : Clipart/images/graphics : EnglishView all editions and formats
Summary:
"Neural networks have been widely adopted across many industries as the ultimate pattern recognition tool. While their current uses in healthcare are limited, neural networks have a promising future in diagnostic and decision making applications, because of their ability to mimic--and improve on--human capabilities in health-related advice and treatment. This video explains the basics of neural networks; shows  Read more...
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Details

Material Type: Clipart/images/graphics, Internet resource, Videorecording
Document Type: Internet Resource, Computer File, Visual material
All Authors / Contributors: Aileen Nielsen
OCLC Number: 1014123531
Notes: Title from title screen (Safari, viewed December 6, 2017).
Release information from resource description page (Safari, viewed December 6, 2017).
Performer(s): Presenter, Aileen Nielsen.
Description: 1 online resource (1 streaming video file (1 hr., 33 min., 17 sec.)) : digital, sound, color
Responsibility: with Aileen Nielsen.

Abstract:

"Neural networks have been widely adopted across many industries as the ultimate pattern recognition tool. While their current uses in healthcare are limited, neural networks have a promising future in diagnostic and decision making applications, because of their ability to mimic--and improve on--human capabilities in health-related advice and treatment. This video explains the basics of neural networks; shows examples of training neural networks with both image-based and unstructured healthcare data; and describes the kinds of neural networks most likely to be useful for health-related applications."--Resource description page.

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