This document provides an overview of Amazon Web Services (AWS) machine learning and artificial intelligence services for learning deep learning and AI. It highlights popular AWS services like Amazon SageMaker, Amazon Rekognition, Amazon Polly, and AWS Deep Learning AMIs. It also discusses how these services can be used for applications like computer vision, natural language processing, speech recognition and text-to-speech. The document aims to help those looking to learn deep learning and AI by showcasing the power of AWS services and resources available to get started with machine learning projects.

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“뭔가 클라우드 보다는
인공 지능을 공부해야 할
이 불안한 느낌은
무엇인가?”( )
페이스북을 돌아다니다 보니…

3. 막 딥러닝과 인공 지능을 배우려는 당신…
대부분 이런 상황과 마주하게 됩니다!

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https://aws.amazon.com/machine-learning/amis/
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7. AVX 512
72 vCPUs
“Skylake”
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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8. http://github.com/01org/mkl-dnn
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만약… 인터넷에서 구매하시면?

11. 3 2 0
p3.2xlarge
= $5 per hour
(서울 리전 기준)
p3.2xlarge x 20
= $100 per hour
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12. 남는 여유 자원을 70% 할인된 가격에
모델 훈련 시에만 사용한다면
= $30 per hour

13. -

14. !
$aws ec2-run-instances ami-b232d0db
--instance-count 1
--instance-type p2.8xlarge
--region us-east-1
--user-data my_data_training.sh
$aws ec2-stop-instances i-10a64379
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http://www.fast.ai/2018/08/10/fastai-diu-imagenet/
https://aws.amazon.com/blogs/machine-learning/new-speed-record-set-for-training-deep-learning-models-on-aws/
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4.75
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Speedup(x)
# GPUs
Resnet 152
Inceptin V3
Alexnet
Ideal
P2.16xlarge (8 Nvidia Tesla K80 - 16 GPUs)
Synchronous SGD (Stochastic Gradient Descent)
91%
Efficiency
88%
Efficiency
16x P2.16xlarge by AWS CloudFormation
Mounted on Amazon EFS
# GPUs
P G
A N M

17. MXNET 공부하세요…
아직은 블루오션입니다!

18. 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.
“
클라우드 기반 텐서플로 프로젝트의
88%가 AWS에서 구동 되고 있다는 사실!

19. 막 딥러닝으로 프로젝트를 시작하는 분들…
대부분 이런 상황과 마주하게 됩니다!

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지겨운 데이터 전처리… 모델 튜닝… 될때까지 계속 반복&반복

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https://aws.amazon.com/ko/sagemaker

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https://medium.com/datadriveninvestor/auto-model-tuning-for-keras-on-amazon-sagemaker-plant-seedling-dataset-7b591334501e
https://aws.amazon.com/blogs/machine-learning/amazon-sagemaker-automatic-model-tuning-produces-better-models-faster/
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28. https://www.youtube.com/watch?v=dpatdO2uPCA
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© 김태훈, 책 읽어주는 딥러닝 https://carpedm20.github.io/tacotron/
공개된 Deep Voice2 + Tacotron을 쓰면 가능합니다!

30. -
© 김태훈, 책 읽어주는 딥러닝 https://carpedm20.github.io/tacotron/

31. ,
© 네오사피언스, http://icepick.ai

32. 그런데 … 내가 왜 이러고 있을까?
Github에는 딥러닝 모델은 차고 넘치고
내가 필요한 건 쓸만한 TTS API 뿐~

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한국어 음성
직접 들어보세요!
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https://aws.amazon.com/ko/polly/pricing/

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https://aws.amazon.com/ko/polly/customers/

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Cloud Gem Portal Plugin - Text to Speech
https://aws.amazon.com/ko/lumberyard/

40. .
Polly를 이용하여
게임 개발 시 다양한 음성 가이드 추가 가능

41. / /. .
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https://aws.amzon.com/ko/sumerian

42. / .
Polly를 이용하여
3D 콘텐츠 제작 시 다양한 음성 가이드 추가 가능

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https://aws.amazon.com/ko/rekognition/

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"SourceImageFace": {
"BoundingBox": {
"Width": ...,
"Height": ...,
"Left": ...,
"Top": ...
},
"Confidence": 99.99964141845703
},
"FaceMatches": [
{
"Similarity": 95,
"Face": {
"Landmarks": [
{
"Type": "eyeLeft",
"X": ...
"Y": ...
},
...
},
]
FaceMatches
CompareFace

46. -

47. -

48. "Persons": [
{
"Timestamp": number,
"Person":
{
"Index": number,
"BoundingBox":
{
"Width": number,
"Top": number,
"Height": number,
"Left": number
},
"Face":
{
"BoundingBox": { ... },
"Landmarks": { ... },
"Pose": { ... },
"Quality": { ... },
"Confidence": number
}
},
...
GetPersonTracking
StartPersonTracking
-

49. 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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https://aws.amazon.com/ko/rekognition/customers/

51. 여기서 보너스… 이런 분들 있으시죠?

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Amazon
GuardDuty

53. -

54. -
비트코인 마이닝도 바로 탐지해 줍니다 ㅠㅠ
여러분 보안에 신경씁시다!

55. 2
Data Sources
VPC flow logs
DNS Logs
CloudTrail
Events
Amazon
CloudWatch
rules
Amazon
GuardDuty
AWS
StepFunctions
Lambda
function
End UserAmazon SNS
3. End user is notified in case of risk
Lambda
function
EC2 Systems
Manager
EC2
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

56. !

57. 1 + 0 5 5

58. 1 + 0 5 5
인공 지능만 살펴봐도…

59. 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
G A
E C
인공 지능 기술은 대기업의 전유물이 아닙니다!

60. !
• https://aws.amazon.com/ko/blogs/korea/deep-learning-on-aws-wanted-mathpresso-buzzbill/
• https://aws.amazon.com/ko/blogs/korea/hot-ai-startups-vuno-mathpresso-maru24-actionpower-elice/
C
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R Q
&R O

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63. AWS IoT
Amazon S3
AWS Lambda
Amazon
Rekognition
Amazon
Polly
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#

66. 딥러닝과 인공 지능을 배우려는 당신…
지금 시작하세요!

67. http://bit.ly/awskr-ml-credits
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딥러닝과 인공 지능을 배우려는 당신…
특별 선물!
http://bit.ly/awskr-feedback
AWS
Only

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