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Deep Learning, Not Deep Creepy
--client
lca
--show
lca2019
--room c3 14518 --force
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Marks
Author(s):
Jack Moffitt
Location
C3
Date
jan Wed 23
Days Raw Files
Start
14:25
First Raw Start
13:51
Duration
0:45:0
Offset
0:33:50
End
15:10
Last Raw End
15:18
Chapters
00:00
0:26:35
0:35:52
Total cuts_time
48 min.
https://2019.linux.conf.au/schedule/presentation/116/
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Massive amounts of data have accelerated advances in machine learning, and companies are collecting as much as they can to power their algorithms. Deep learning has many amazing and practical use cases, but the privacy and social implications of current machine learning systems leave much to be desired. At Mozilla, we're trying to make machine learning systems that empower people and ensure their privacy. I'll give an overview of deep learning, its applications, and how it all works. Then I'll demo and talk about several machine learning projects at Mozilla, including Deep Speech, speech synthesis, grammar checking, and more. At the end, you'll know what the hype is about, and how you can use these technologies for good.
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