veyepar: You Can Do Deep Learning!

Author(s):	William Horton
Location	Cartoon 1
Date	jul Sat 28	Days Raw Files
Start	15:00	First Raw Start	14:43
Duration	0:30:0	Offset	0:16:09
End	15:30	Last Raw End	15:43
Chapters	00:00 0:12:18
Total cuts_time	32 min.

https://pyohio.org/2018/schedule/presentation/53/
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You know how to code in Python, and you want to learn more about deep learning. This talk will put the tools in your hands to complete your first deep learning project, and put you on the path to growing your knowledge of this exciting field.

Along the way, we’ll discuss the learning process, and how you can leverage what you already know in order to jump start your progress tackling something new. I’ll even take a detour to talk (briefly) about how I got started in web development with Rails, and the benefits you can get from open-source frameworks with high levels of abstraction.

I’ll walk through the pieces you can put together to build a powerful image classifier with deep learning: hardware (GPUs), training data, model architectures and pretrained weights, and software libraries for running training and prediction with your models. Since all of these things are becoming increasingly available for free on the internet, it’s never been a better time to give deep learning a try.

In the end, you don't need a PhD to get started doing deep learning. You can have fun learning enough to do a simple project, like a cats vs. dogs image classifier. From there, you can go wherever your curiosity takes you!

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production notes

2018-07-28/14_43_51.ts Apply: 14:46:07 - 15:01:33 ( 00:15:26 ) S: 14:43:51 - E: 15:13:51 D: 00:30:00 (Start: 136.0) (End: 1062.0) show more...

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	14:43:51		seconds: 136.0 Wall: 14:46:07
Duration	00:30:00
	15:13:51		seconds: 1062.0 Wall: 15:01:33
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