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Amazon SageMaker で始める機械学習
1.
Amazon SageMaker
2.
?
3.
AWS AWS Deep Learning
AMIs EC2 GPUs EC2 CPUs IoT Edge Amazon SageMaker Amazon Mechanical Turk R E K O G N I T I O N R E K O G N I T I O N V I D E O P O L L Y T R A N S C R I B E T R A N S L A T E C O M P R E H E N D L E X KERAS
4.
5.
SageMaker • • • • IoT • •
6.
SageMaker
7.
SageMaker
8.
SageMaker
9.
SageMaker
10.
Agenda SageMaker SageMaker
11.
12.
13.
• • 1 1 • 1 • •
14.
SageMaker
15.
SageMaker 8
16.
SageMaker • • • • • • • • •
17.
Jupyter Notebook • • • 4 ⎼
ml.t2 ⎼ ml.m4 ⎼ ml.p2 ⎼ ml.p3 • VPC ENI VPC
18.
CreateTrainingJob API Docker • •
2 • m4, m5, c4, c5, p2, p3 • S3 https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateTrainingJob.html
19.
CreateEndpoint API Docker •
AB • • https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateEndpointConfig.html https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateEndpoint.html https://docs.aws.amazon.com/ja_jp/sagemaker/latest/dg/API_UpdateEndpoint.html https://docs.aws.amazon.com/ja_jp/sagemaker/latest/dg/API_UpdateEndpointWeightsAndCapacities.html
20.
SageMaker
21.
SageMaker 2 AWS SDK • • SageMaker
SDK • • AWS SDK SageMaker SDK AWS SDK scikit-learn • Python Spark • Jupyter Notebook https://github.com/aws/sagemaker-python-sdk https://github.com/aws/sagemaker-spark
22.
AWS SDK SageMaker
SDK • SageMaker SDK Jupyter Notebook • AWS SDK SageMaker SDK AWS SDK
23.
create-endpoint create-notebook-instance create-training-job delete-endpoint delete-notebook-instance describe-endpoint describe-notebook-instance … estimator = TensorFlow(…) estimator.set_hyperparameters(…) estimator.fit(…) predictor
= estimator.deploy(…) Predictor.predict(…)
24.
SageMaker 1. SageMaker 2. Tensorflow/Chainer/PyTorch/MXNet 3.
25.
SageMaker 1. SageMaker → 2. Tensorflow/Chainer/PyTorch/MXNet → 3. →
26.
SageMaker
27.
Linear Learner XGBoost (eXtreme
Gradient Boosting) PCA k-means k-NN Factorization Machines Random Cut Forest (Amazon) LDA (Latent Dirichlet Allocation) SageMaker
28.
SageMaker Image classification Object Detection seq2seq Neural
Topic Model Blazing text (Amazon) DeepAR Forecasting (Amazon)
29.
Image Classification ResNet • ResNet
CNN • ILSVRC 2015 1 • ImageNet • use_pretrained_model 1 0 https://github.com/awslabs/amazon-sagemaker-examples/blob/master/introduction_to_amazon_algorithms/imageclassification_caltech/Image-classification-transfer-learning.ipynb https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/He_Deep_Residual_Learning_CVPR_2016_paper.pdf https://docs.aws.amazon.com/ja_jp/sagemaker/latest/dg/image-classification.html https://docs.aws.amazon.com/ja_jp/sagemaker/latest/dg/IC-Hyperparameter.html
30.
Object Detection SSD • • VGG
or ResNet • ImageNet • use_pretrained_model 1 0 https://github.com/awslabs/amazon-sagemaker-examples/blob/master/introduction_to_amazon_algorithms/object_detection_pascalvoc_coco/object_detection_image_json_format.ipynb https://arxiv.org/pdf/1512.02325.pdf https://docs.aws.amazon.com/sagemaker/latest/dg/object-detection.html https://docs.aws.amazon.com/ja_jp/sagemaker/latest/dg/IC-Hyperparameter.html
31.
SageMaker S3
32.
estimator.fit() SageMaker S3
33.
estimator.deploy() SageMaker S3
34.
https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-algo-docker-registry-paths.html
35.
SageMaker
36.
Tensorflow/Chainer/PyTorch /MXNet
37.
* S3 SageMaker S3
38.
estimator.fit() . AWS SageMaker S3
39.
estimator.deploy() AWS SageMaker S3
40.
Tensorflow • model_fn • estimator_fn
tensorflow.estimator • keras_model_fn tf.keras • train_input_fn • eval_input_fn • serving_input_fn • input_fn • output_fn https://docs.aws.amazon.com/sagemaker/latest/dg/tf-training-inference-code-template.html
41.
5
42.
https://docs.aws.amazon.com/ja_jp/sagemaker/latest/dg/API_CreateTrainingJob.html https://docs.aws.amazon.com/ja_jp/sagemaker/latest/dg/tf-example1-train.html CreateTrainingJob Hyperparameters
43.
Chainer • __main__ • model_fn: • https://docs.aws.amazon.com/sagemaker/latest/dg/chainer.html https://github.com/awslabs/amazon-sagemaker-examples/blob/master/sagemaker-python- sdk/chainer_mnist/chainer_mnist_single_machine.py
44.
PyTorch • __main__ • model_fn: • https://docs.aws.amazon.com/sagemaker/latest/dg/pytorch.html https://github.com/aws/sagemaker-python-sdk/blob/master/src/sagemaker/pytorch/README.rst
45.
MXNet • train • save •
model_fn: • transform_fn: • https://docs.aws.amazon.com/sagemaker/latest/dg/mxnet-training-inference-code-template.html
46.
47.
docker run IMAGE_ID
train • train • estimator.fit() docker run train docker run IMAGE_ID serve • serve • estimator.fit() serve • predictor.predict() /invocations • https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms-training-algo.html https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms-inference-code.html
48.
ECR push SageMaker S3
49.
S3ECR SageMaker estimator.fit()
50.
S3ECR SageMaker estimator.deploy()
51.
52.
53.
SageMaker
54.
SageMaker 3 1: • SageMaker 2:
GPU • AWS
55.
SageMaker API CreateTrainingJob CreateEndpointConfig UpdateEndpoint UpdateEndpointWeightsAndCapacities
56.
57.
• → • VPC
58.
EMR SageMaker EMR EMR VPC EMR Livy https://aws.amazon.com/jp/blogs/news/build-amazon-sagemaker-notebooks-backed-by-spark-in-amazon-emr/
59.
AWS SageMaker Presigned URL API •
CreatePresignedNotebookInstanceUrl • AWS AWS https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreatePresignedNotebookInstanceUrl.html CreatePresignedNotebookInstanceUrl CreateNotebookInstance Presigned Instance URL Returned Presigned Instance URL Notebook Instance Request Instance Created
60.
61.
SageMaker → instance_count 2 Tensorflow/Chainer/PyTorch/MXNet →
instance_count → Docker SageMaker /opt/ml/input/config/resourceConfig.json
62.
Estimater hyperparameters Tensorflow/Chainer/PyTorch/MXNet BYOA https://github.com/awslabs/amazon-sagemaker-examples/tree/master/hyperparameter_tuning https://github.com/aws/sagemaker-python-sdk#sagemaker-automatic-model-tuning
63.
CloudWatch Logs CloudWatch Logs
64.
Tensorflow AWS Tensorflow Docker model_fn source_dir Tensorflow
1.4-1.9 Keras https://docs.aws.amazon.com/ja_jp/sagemaker/latest/dg/tf-examples.html
65.
SageMaker Tensorflow/Chainer/PyTorch/MXNet github • SageMaker
pull / • instance_type ‘local’ https://github.com/aws/sagemaker-python-sdk#local-mode https://github.com/aws/sagemaker-tensorflow-containers https://github.com/aws/sagemaker-mxnet-containers https://github.com/aws/sagemaker-chainer-container https://github.com/aws/sagemaker-pytorch-container
66.
PIPE 2 • FILE: • PIPE:
S3 API PIPE • Tensorflow TFRecord • MXNet RecordIO Chainer PyTorch PIPE
67.
68.
= 2 • SageMakerVariantInvocationsPerInstance ⎼ 1
1 • https://docs.aws.amazon.com/sagemaker/latest/dg/endpoint-auto-scaling.html#endpoint-auto-scaling-add-policy https://docs.aws.amazon.com/ja_jp/autoscaling/application/userguide/application-auto-scaling-target-tracking.html
69.
Tensorflow AWS Tensorflow Docker Tensorflow
Serving input_fn, output_fn https://docs.aws.amazon.com/ja_jp/sagemaker/latest/dg/tf-examples.html
70.
A/B • • • https://docs.aws.amazon.com/ja_jp/sagemaker/latest/dg/API_runtime_InvokeEndpoint.html
71.
Transform Job Transform Job • • S3
72.
73.
: KMS key ID SSE-KMS •
CreateTrainingJob / • CreateEndpointConfig • • Cloudtrail PCI DSS HIPPA https://aws.amazon.com/about-aws/whats-new/2018/01/aws-kms-based-encryption-is-now-available-in-amazon-sagemaker-training-and-hosting/ https://aws.amazon.com/about-aws/whats-new/2018/01/aws-cloudtrail-integration-is-now-available-in-amazon-sagemaker/ https://aws.amazon.com/about-aws/whats-new/2018/01/amazon-sagemaker-achieves-pci-dss-compliance/ https://aws.amazon.com/about-aws/whats-new/2018/04/access-amazon-vpc-resources-for-training-and-hosting-with-amazon-sageMaker/ https://aws.amazon.com/about-aws/whats-new/2018/05/Amazon-SageMaker-Achieves-HIPAA-Eligibility/ https://aws.amazon.com/jp/about-aws/whats-new/2018/06/amazon-sagemaker-inference-calls-are-supported-on-aws-privatelink/
74.
: SageMaker S3 S3
VPC • S3 • S3 SageMaker API PrivateLink • SageMaker Service API • SageMaker Runtime API https://aws.amazon.com/about-aws/whats-new/2018/04/access-amazon-vpc-resources-for-training-and-hosting-with-amazon-sageMaker/ https://aws.amazon.com/jp/about-aws/whats-new/2018/06/amazon-sagemaker-inference-calls-are-supported-on-aws-privatelink/ https://aws.amazon.com/about-aws/whats-new/2018/08/amazon-sagemaker-apis-supported-on-aws-privatelink/
75.
ML • SageMaker 1 ML • • 0.14
USD/GB/ • • 0.016 USD/GB https://aws.amazon.com/jp/sagemaker/pricing/
76.
3 SageMaker Example Notebooks •
https://github.com/awslabs/amazon-sagemaker-examples SageMaker SDK • https://github.com/aws/sagemaker-python-sdk (Doc : https://readthedocs.org/projects/sagemaker/) SageMaker • https://docs.aws.amazon.com/ja_jp/sagemaker/latest/dg/whatis.html
77.
https://github.com/awslabs/amazon-sagemaker-examples/tree/master/introduction_to_amazon_algorithms https://docs.aws.amazon.com/ja_jp/sagemaker/latest/dg/algos.html • • • • • • • • • • • • • •
78.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Web Services Japan, K. K. Amazon SageMaker
79.
SageMaker https://aws.amazon.com/jp/console/ (Chrome, Firefox IE,
Safari ) SageMaker
80.
81.
SageMaker
82.
• • ml.t2.medium • IAM
83.
IAM S3 S3
84.
• VPC, •
85.
Jupyter Notebook • InService Jupyter
Notebook • New → Terminal
86.
Terminal cd SageMaker/ wget http://bit.ly/sm-handson
-O handson.zip unzip handson.zip + (O) URL DL
87.
Jupyter Notebook handson
88.
• • XGBoost MNIST •
Chainer on SageMaker • Chainer MLP MNIST • MNIST Factorization Machines
89.
@awscloud_jp http://on.fb.me/1vR8yWm Twitter/Facebook AWS
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