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Amir sadoughi developing large-scale machine learning algorithms on amazon sage maker
1.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Developing Large Scale Machine Learning Algorithms on Amazon SageMaker Amir Sadoughi Senior Software Engineer Amazon AI Labs
2.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark M L F R A M E W O R K S & I N F R A S T R U C T U R E The Amazon ML stack: Broadest & deepest set of capabilities A I S E R V I C E S R E K O G N I T I O N I M A G E P O L L Y T R A N S C R I B E T R A N S L A T E L E XR E K O G N I T I O N V I D E O Vision Speech Chatbots M L S E R V I C E S F r a m e w o r k s I n t e r f a c e s I n f r a s t r u c t u r e E C 2 P 3 & P 3 d n E C 2 C 5 F P G A s G R E E N G R A S S E L A S T I C I N F E R E N C E Language Forecasting Recommendations T E X T R A C T New C O M P R E H E N D & C O M P R E H E N D M E D I C A L New NewNew F O R E C A S T P E R S O N A L I Z E A M A Z O N S A G E M A K E R G R O U N D T R U T H New N O T E B O O K S A W S M A R K E T P L A C E New A L G O R I T H M S R E I N F O R C E M E N T L E A R N I N G New T R A I N I N G O P T I M I Z A T I O N ( N E O ) New D E P L O Y M E N T H O S T I N G New
3.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Machine Learning Amazon SageMaker Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
4.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark M L F R A M E W O R K S & I N F R A S T R U C T U R E The Amazon ML stack: Broadest & deepest set of capabilities A I S E R V I C E S R E K O G N I T I O N I M A G E P O L L Y T R A N S C R I B E T R A N S L A T E L E XR E K O G N I T I O N V I D E O Vision Speech Chatbots M L S E R V I C E S F r a m e w o r k s I n t e r f a c e s I n f r a s t r u c t u r e E C 2 P 3 & P 3 d n E C 2 C 5 F P G A s G R E E N G R A S S E L A S T I C I N F E R E N C E Language Forecasting Recommendations T E X T R A C T New C O M P R E H E N D & C O M P R E H E N D M E D I C A L New NewNew F O R E C A S T P E R S O N A L I Z E A M A Z O N S A G E M A K E R G R O U N D T R U T H New N O T E B O O K S A W S M A R K E T P L A C E New A L G O R I T H M S R E I N F O R C E M E N T L E A R N I N G New T R A I N I N G O P T I M I Z A T I O N ( N E O ) New D E P L O Y M E N T H O S T I N G New
5.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Amazon SageMaker: Algorithms • Built-in algorithms • NLP • Computer Vision • Supervised • Unsupervised • AWS Marketplace for Machine Learning • Bring Your Own Algorithm
6.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Algorithm Development Lifecycle Interface design System design Testing Communications
7.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Interface Design
8.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved.
9.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved.
10.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved.
11.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved.
12.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved.
13.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. System design • Storage • Compute • Network
14.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. System design: Storage • Tiers: Amazon S3, Amazon EBS, GPU mem., CPU mem., CPU cache • Access patterns • Capacities: Throughput, Latency
15.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. System design: Storage File mode • easy to implement • faster for many epochs • initial download time • increased size for data disk space • maxes out at 16 TB Pipe mode • harder to implement • faster for single pass • downloads each epoch • sizing only for model disk space • no limit on length
16.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. System design: Compute • CPU • GPU • Multi-GPU • Elastic inference • Mobile • IoT
17.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. System design: Network • Training: Single machine or distributed across many machines • Inference: number of concurrent requests, size of payload • Throughput • Latency • Jitter
18.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Testing: traditional testing • Unit tests • Functional tests • Integration tests • Load testing
19.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. !19 Testing: traditional testing • Unit tests • Functional tests • Integration tests • Load testing
20.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Testing: benchmarking • Measure time, cost, accuracy • DAWNBench • Training: end-to-end throughput • Inference: end-to-end latency
21.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved.
22.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. System design: performance optimizations • Beware of the tradeoffs • Training • Low or mixed precision • Increase batch size • Optimize communication between workers
23.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. System design: performance optimizations • Inference • Caching • Queueing • Low precision
24.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. System design: EMA example
25.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. CreateAlgorithm: EMA example
26.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. AWS Marketplace for Machine Learning
27.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Training data
28.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Training data: train/test split
29.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Hyperparameter tuning job: EMA example
30.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Hyperparameter tuning job: EMA example
31.
© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved. Hyperparameter tuning job: EMA example
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© 2019, Amazon
Web Services, Inc. or its affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark M L F R A M E W O R K S & I N F R A S T R U C T U R E The Amazon ML stack: Broadest & deepest set of capabilities A I S E R V I C E S R E K O G N I T I O N I M A G E P O L L Y T R A N S C R I B E T R A N S L A T E L E XR E K O G N I T I O N V I D E O Vision Speech Chatbots M L S E R V I C E S F r a m e w o r k s I n t e r f a c e s I n f r a s t r u c t u r e E C 2 P 3 & P 3 d n E C 2 C 5 F P G A s G R E E N G R A S S E L A S T I C I N F E R E N C E Language Forecasting Recommendations T E X T R A C T New C O M P R E H E N D & C O M P R E H E N D M E D I C A L New NewNew F O R E C A S T P E R S O N A L I Z E A M A Z O N S A G E M A K E R G R O U N D T R U T H New N O T E B O O K S A W S M A R K E T P L A C E New A L G O R I T H M S R E I N F O R C E M E N T L E A R N I N G New T R A I N I N G O P T I M I Z A T I O N ( N E O ) New D E P L O Y M E N T H O S T I N G New
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Web Services, Inc. or its affiliates. All rights reserved. Thank you! !33
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Web Services, Inc. or its affiliates. All rights reserved. !34 Resources • SageMaker Product Page • SageMaker Console • Ground Truth Product Page • Neo Product Page • SageMaker RL Documentation • SageMaker 10-Minute Tutorial • SageMaker Related Blogs • Ground Truth Webinar (Dec 2018)
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