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Name: Let's build a video game, train a bot to play it, and deploy it on a smartphone in 30 minutes
--client nbpy --show nbpy19 --room mystic 15056 --force
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Author(s):	Paris Buttfield-Addison
Location	Mystic Theatre
Date	nov Sat 02	Days Raw Files
Start	16:00	First Raw Start	15:48
Duration	0:30:05	Offset	0:11:41
End	16:30	Last Raw End	16:48
Chapters	00:00 0:18:19
Total cuts_time	30 min.

https://2019.northbaypython.org/schedule/presentation/14/
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assets release.pdf Lets_build_a_video_game_train_a_bot_to_play_it_and_deploy_it_on_a_smartphone_in_30_minutes.json
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Description:	In this session, we’ll build a little smartphone game, train a bot to play it using reinforcement learning, Python, and TensorFlow, and deploy it to a smartphone. In 30minutes. We’ll show you how easy it is to add ML-powered intelligence to video games or simulations, and how inference on smartphones is easier than it’s ever been: modern, powerful tools like Unity’s ML-Agents, Python, and TensorFlow make the complex easy. And it’s a lot of fun. First, we’ll spend 10 minutes of the session: * showcasing the absolute basics game engines * creating an arcade game, live on stage * adding some art, to make the game look pretty! Second, we’ll spend 10 minutes of the session: * implementing an agent, using Python and TensorFlow, that is rewarded for playing the game * training the agent to play * giving the agent some character Finally, we’ll spend the last 10 minutes of the session: * preparing our trained model for deployment onto a smartphone * building the game and optimizing both the gameplay and ML-components for a smartphone * showing the audience the game, running live on a phone! This is an engaging, fast-paced, and surprisingly in-depth exploration of how powerful modern game engines can be used for quick, relatively easy, but incredibly powerful state of the art machine learning and training, and how powerful inference on-device is, for mobile AI. You don’t need to be a game developer to see the benefits. Join us for 30minutes of rapid live coding, and engaging banter while we show what’s really possible with Python, TensorFlow for ML, game engines/simulations, and mobile devices! In this session, we'll build a little smartphone game, train a bot to play it using reinforcement learning with Python and TensorFlow, and deploy it to a smartphone. In 30 minutes we'll show you how easy it is to add machine learning (ML)-powered intelligence to video games and simulations, and how useful it can be to visualize ML problems. It'll be fun, and you'll learn the fundamentals of ML. markdown
Comment:	production notes

2019-11-02/15_48_52.ts Apply: 15:48:52 - 16:00:16 ( 00:11:24 ) S: 15:48:52 - E: 16:18:52 D: 00:30:00 (End: 684.0) show more...

vlc ~/Videos/veyepar/nbpy/nbpy19/dv/mystic/2019-11-02/15_48_52.ts :start-time=00.0 --audio-desync=0

	Raw File	Cut List
	15:48:52		seconds: 0.0 Wall: 15:48:52
Duration	00:30:00
	16:18:52		seconds: 684.0 Wall: 16:00:16
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mp4 mp4.m3u	dv.m3u	Split: Sequence:: delete

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2019-11-02/15_48_52.ts Apply: 16:00:16 - 16:00:27 ( 00:00:11 ) S: 15:48:52 - E: 16:18:52 D: 00:30:00 (Start: 684.0) (End: 695.0) show more...

vlc ~/Videos/veyepar/nbpy/nbpy19/dv/mystic/2019-11-02/15_48_52.ts :start-time=0684.0 --audio-desync=0

	Raw File	Cut List
	15:48:52		seconds: 684.0 Wall: 16:00:16
Duration	00:30:00
	16:18:52		seconds: 695.0 Wall: 16:00:27
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mp4 mp4.m3u	dv.m3u	Split: Sequence:: delete

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2019-11-02/15_48_52.ts Apply: 16:00:27 - 16:00:33 ( 00:00:06 ) S: 15:48:52 - E: 16:18:52 D: 00:30:00 (Start: 695.0) (End: 701.0) show more...

vlc ~/Videos/veyepar/nbpy/nbpy19/dv/mystic/2019-11-02/15_48_52.ts :start-time=0695.0 --audio-desync=0

	Raw File	Cut List
	15:48:52		seconds: 695.0 Wall: 16:00:27
Duration	00:30:00
	16:18:52		seconds: 701.0 Wall: 16:00:33
Comments:
mp4 mp4.m3u	dv.m3u	Split: Sequence:: delete

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2019-11-02/15_48_52.ts Apply: 16:00:33 - 16:18:52 ( 00:18:19 ) S: 15:48:52 - E: 16:18:52 D: 00:30:00 (Start: 701.0) show more...

vlc ~/Videos/veyepar/nbpy/nbpy19/dv/mystic/2019-11-02/15_48_52.ts :start-time=0701.0 --audio-desync=0

	Raw File	Cut List
	15:48:52		seconds: 701.0 Wall: 16:00:33
Duration	00:30:00
	16:18:52		seconds: 0.0 Wall: 15:48:52
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mp4 mp4.m3u	dv.m3u	Split: Sequence:: delete

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2019-11-02/16_18_52.ts Apply: 16:18:52 - 16:30:38 ( 00:11:46 ) S: 16:18:52 - E: 16:48:51 D: 00:29:59 (End: 706.0) show more...

vlc ~/Videos/veyepar/nbpy/nbpy19/dv/mystic/2019-11-02/16_18_52.ts :start-time=00.0 --audio-desync=0

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	16:18:52		seconds: 0.0 Wall: 16:18:52
Duration	00:29:59
	16:48:51		seconds: 706.0 Wall: 16:30:38
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mp4 mp4.m3u	dv.m3u	Split: Sequence:: delete

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2019-11-02/16_18_52.ts Apply: 16:30:38 - 16:32:06 ( 00:01:28 ) S: 16:18:52 - E: 16:48:51 D: 00:29:59 (Start: 706.0) (End: 794.0) show more...

vlc ~/Videos/veyepar/nbpy/nbpy19/dv/mystic/2019-11-02/16_18_52.ts :start-time=0706.0 --audio-desync=0

	Raw File	Cut List
	16:18:52		seconds: 706.0 Wall: 16:30:38
Duration	00:29:59
	16:48:51		seconds: 794.0 Wall: 16:32:06
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mp4 mp4.m3u	dv.m3u	Split: Sequence:: delete

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2019-11-02/16_18_52.ts Apply: 16:32:06 - 16:48:51 ( 00:16:45 ) S: 16:18:52 - E: 16:48:51 D: 00:29:59 (Start: 794.0) show more...

vlc ~/Videos/veyepar/nbpy/nbpy19/dv/mystic/2019-11-02/16_18_52.ts :start-time=0794.0 --audio-desync=0

	Raw File	Cut List
	16:18:52		seconds: 794.0 Wall: 16:32:06
Duration	00:29:59
	16:48:51		seconds: 0.0 Wall: 16:18:52
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mp4 mp4.m3u	dv.m3u	Split: Sequence:: delete

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2019-11-02/15_48_52.ts
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