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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assets release.pdf Deep_Learning_Not_Deep_Creepy.json
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Description:	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. markdown
Comment:	production notes