This document discusses Amazon Web Services (AWS) for machine learning and deep learning. It describes several AWS services including Amazon Rekognition for image and video analysis, Amazon SageMaker for building and deploying machine learning models, and AWS Greengrass for deploying models to edge devices. It provides examples of using these services for tasks like image classification, object detection, and semantic segmentation. It also shows architectures for deploying models with services like Lambda, S3, and API Gateway.

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AWS
AWS CREATIVE STUDIO | 2018

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• AWS
•
• Amazon Rekognition
• Amazon SageMaker
• AWS Greengrass & AWS DeepLens
•
• Amazon SageMaker
•
•

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AWS

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•
•
Demographic Data
Facial Landmarks
Sentiment Expressed
Image Quality
General Attributes

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Deep Learning
• ILSVRC2012 Deep Learning
• ILSVRC2015
•
3x3conv.,64
pooling
3x3conv.,64
3x3conv.,64
3x3conv.,64
3x3conv.,64
3x3conv.,128
3x3conv.,128
3x3conv.,512
3x3conv.,512
fc,1000
Resnet-34

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AWS
Deep Learning
Amazon
Rekognition
AWS
Greengrass
Amazon
SageMaker

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Amazon Rekognition

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Amazon Rekognition
•
• API

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Amazon Rekognition Update 3
2018/10
2018/09
2018/08 AP
I

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Amazon Rekognition
https://ap-northeast-
1.console.aws.amazon.com/rekognition/home?region=ap-
northeast-1#/

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Amazon Rekognition API Python
rek = boto3.client('rekognition’)
response = rek.detect_faces(
Image={ 'S3Object’:
{ 'Bucket’: bucket_name,
'Name’: photo_name
}
},
Attributes=['ALL'] )
Rekognition
client
detect_faces

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Amazon SageMaker

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&
API
A/B
1
Deep Learning GPU

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•
• 1
1
• 1
•
•

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Amazon SageMaker
8

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Amazon SageMaker
• SageMaker API
•
•
•
•
•
•
• SageMaker API
•
A/B
Jupyter Notebook Docker Docker

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SageMaker
1. SageMaker
→
2. Tensorflow/Chainer/PyTorch/MXNet
→
3.
→

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Image Classification
• 2015 ResNet
•
• Rekognition
• Cat
• Dog

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Object Detection
•
• SSD
•
Dog
Cat

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Bring your own algorithm
•Tensorflow, Chainer, PyTorch, MXNet
•
Semantic Segmentation

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AWS Greengrass & AWS DeepLens

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AWS Greengrass ML Inference
• AWS Greengrass Amazon SageMaker
• AWS

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AWS DeepLens
HD video camera
Custom-designed
deep learning
inference engine
Micro-SD
Mini-HDMI
USB
USB
Reset
Audio out
Power
HD video camera
with on-board
compute optimized
for deep learning
Tutorials, examples,
demos, and pre-
built models
From unboxing
to first inference
in <10 minutes
Integrates with
Amazon SageMaker
and AWS Lambda
10
MIN
The world’s first deep learning-enabled video camera for developers

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EC2 (Web)
AWS Lambda
Amazon
Rekognition
Amazon S3Amazon S3
Amazon S3

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• Amazon Rekognition
•
Amazon S3 AWS Lambda
Amazon DynamoDB
Amazon
Rekognition
Video

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•
•
Amazon S3 AWS Lambda Amazon
SageMaker
Object Detection
(1)
(2)
Amazon
SageMaker
Image
classification

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Amazon SageMaker

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•
•
•
•
•
•
Amazon SageMaker 2

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S3 API Gateway Lambda
Amazon
API Gateway
AWS
Lambda
Amazon
SageMaker
S3

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•
•
https://amzn.to/devday_q