인공 지능을 공부하려는 개발자들이 필연적으로 부딪히는 문제 상황에 대한 해법을 알려드립니다. 본 세션에서는 손쉬운 딥러닝 인프라 설정, 빠른 모델 학습 과정, 기존 서비스에 인공 지능 기능 탑재 방법 등에 대한 다양한 서비스와 활용 사례를 데모와 함께 보여 드립니다. - 딥러닝 인프라 설정 및 빠른 모델 학습 과정 소개 - AI 기반 이미지 인식 및 TTS 서비스 서비스 활용 사례

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© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

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72 vCPUs
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144 GiB memory
C5
12 Gbps to EBS
2X vCPUs
2X performance
3X throughput
2.4X memory
C4
36 vCPUs
“Haswell”
4 Gbps to EBS
60 GiB memory
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$aws ec2-run-instances ami-b232d0db
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$aws ec2-stop-instances i-10a64379
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Synchronous SGD (Stochastic Gradient Descent)
91%
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88%
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16x P2.16xlarge by AWS CloudFormation
Mounted on Amazon EFS
# GPUs
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17. https://nucleusresearch.com/research/single/guidebook-tensorflow-aws/
In analyzing the experiences of researchers
supporting more than 388 unique projects, Nucleus
found that 88 percent of cloud-based TensorFlow
projects are running on Amazon Web Services.
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"SourceImageFace": {
"BoundingBox": {
"Width": ...,
"Height": ...,
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"Top": ...
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"Confidence": 99.99964141845703
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...
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FaceMatches
CompareFace

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{
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"Top": number,
"Height": number,
"Left": number
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"Pose": { ... },
"Quality": { ... },
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}
},
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GetPersonTracking
StartPersonTracking
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Live Street Camera Amazon Kinesis Video Streams
1. Camera-captured video
streams are processed by
Kinesis Video Streams
End User
3. End user is notified
in case of face matches
Amazon SNS AWS Lambda Amazon Kinesis
Streams
Amazon Rekognition Video Face collection
2. Rekognition Video analyses the
video and searches faces on screen
against a collection of millions of faces

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CloudTrail
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AWS
StepFunctions
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End UserAmazon SNS
3. End user is notified in case of risk
Lambda
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EC2 Systems
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2. EC2 System Manager fixes compromised EC2
Instances and credentials by documents
1. Guardduty continuously analyzes
data sources and intelligently detect
threats and sends CloudWatch Logs

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54. KERAS
AWS DEEP LEARNING AMI
AMAZON SAGEMAKER
REKOGNITION REKOGNITION VIDEO POLLY TRANSCRIBE TRANSLATE COMPREHEND LEX
AWS DEEPLENS AMAZON MACHINE
LEARNING
SPARK & EMR AMAZON
MECHANICAL TURK
GPU ( P3 INSTANCES) CPU (C5) IOT (GREENGRASS) MOBILE
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