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2018.07.25
Amazon SageMaker
2018/7/25 Amazon SageMaker
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⎼ Amazon Athena
⎼ AWS Glue
⎼ Amazon SageMaker
Agenda
SageMaker
SageMaker
•
• 1
1
• 1
•
•
SageMaker
SageMaker
5
SageMaker
•
•
•
•
•
•
•
•
•
Jupyter Notebook
•
•
• 4 ml.t2, ml.m4,
ml.p2, ml.p3
• VPC
ENI VPC
CreateTrainingJob API Docker
•
•
2
• m4, m5, c4, c5,
p2, p3
•
S3
https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateTrainingJob.html
:
CloudWatch Logs
CloudWatch Logs
:
Estimater hyperparameters
SageMaker
https://github.com/awslabs/amazon-sagemaker-examples/tree/master/hyperparameter_tuning
https://github.com/aws/sagemaker-python-sdk#sagemaker-automatic-model-tuning
/ :
SageMaker Tensorflow / MXNet / Chainer
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
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
:
Batch Transform Job
• CreateTransformJob API
•
• S3 S3
:
AWS Greengrass SageMaker
/ . .- . / - ./ .- .
• SageMaker
S3
• DeepLens
SageMaker
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
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
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(…)
SageMaker
1. SageMaker
2. Tensorflow/Chainer/PyTorch/MXNet
3.
SageMaker
1. SageMaker
→
2. Tensorflow/Chainer/PyTorch/MXNet
→
3.
→
SageMaker
• Linear Learner
• Factorization Machines
• XGBoost
• Image Classification
• seq2seq
• K-means
• k-NN
• PCA
• LDA
• Neural Topic Model
• DeepAR Forecasting
• BlazingText (word2vec)
• Random Cut Forest
• Object Detection
New!
https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html
New!
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
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
SageMaker
S3
estimator.fit()
SageMaker
S3
estimator.deploy()
SageMaker
S3
https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-algo-docker-registry-paths.html
Tensorflow / PyTorch / Chainer /
MXNet
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
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
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
MXNet
• train
• save
• model_fn:
• transform_fn:
•
https://docs.aws.amazon.com/sagemaker/latest/dg/mxnet-training-inference-code-template.html
*
S3
SageMaker
S3
estimator.fit() .
AWS
SageMaker
S3
estimator.deploy()
AWS
SageMaker
S3
ECR
push
SageMaker
S3
S3ECR
SageMaker
estimator.fit()
S3ECR
SageMaker
estimator.deploy()
SageMaker 3
1:
• SageMaker
2: GPU
• AWS
AWS SDK SageMaker SDK
• SageMaker SDK
Jupyter Notebook
• AWS SDK
AWS SDK SageMaker SDK
• SageMaker SDK
Jupyter Notebook
• AWS SDK
SageMaker SDK AWS SDK
ML
• SageMaker
1
ML
•
• 0.14 USD/GB/
•
• 0.016 USD/GB
https://aws.amazon.com/jp/sagemaker/pricing/
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
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
•
•
•
•
•
•
New!
•
•
•
•
•
•
Tensorflow
• Tensorflow
• https://github.com/awslabs/amazon-sagemaker-examples/blob/master/sagemaker-python-
sdk/tensorflow_abalone_age_predictor_using_keras/tensorflow_abalone_age_predictor_using_keras.ipynb
• Tensorflow Tensorboard
• https://github.com/awslabs/amazon-sagemaker-examples/tree/master/sagemaker-python-
sdk/tensorflow_resnet_cifar10_with_tensorboard
• Tensorflow
• https://github.com/awslabs/amazon-sagemaker-examples/blob/master/sagemaker-python-
sdk/tensorflow_distributed_mnist/tensorflow_distributed_mnist.ipynb
• Keras + Tensorflow
• https://github.com/awslabs/amazon-sagemaker-examples/tree/master/sagemaker-python-
sdk/tensorflow_abalone_age_predictor_using_keras
• MXNet
• https://github.com/awslabs/amazon-sagemaker-examples/tree/master/sagemaker-python-sdk
• scikit-learn SageMaker
SageMaker
• https://github.com/awslabs/amazon-sagemaker-
examples/blob/master/advanced_functionality/scikit_bring_your_own/scikit_bring_your_own.ipynb
• SageMaker R
• https://github.com/awslabs/amazon-sagemaker-
examples/blob/master/advanced_functionality/install_r_kernel/example_r_notebook.ipynb
• SageMaker
• https://github.com/awslabs/amazon-sagemaker-
examples/blob/master/advanced_functionality/handling_kms_encrypted_data/handling_kms_encrypted_data.ipynb
• XGBoost SageMaker
• https://github.com/awslabs/amazon-sagemaker-
examples/blob/master/advanced_functionality/xgboost_bring_your_own_model/xgboost_bring_your_own_model.ipynb
• Tensorflow Sagemaker
• https://github.com/awslabs/amazon-sagemaker-
examples/blob/master/advanced_functionality/tensorflow_iris_byom/tensorflow_BYOM_iris.ipynb
• Redshift MXNet R
• https://github.com/awslabs/amazon-sagemaker-examples/tree/master/advanced_functionality
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Web Services Japan, K. K.
Amazon SageMaker
(SAMEJIMA, Masaki)
SageMaker
AWS Amazon SageMaker
SageMaker
https://aws.amazon.com/jp/console/
(Chrome, Firefox IE, Safari )
SageMaker
SageMaker
•
•
ml.t2.medium
• IAM
IAM
S3
S3
• VPC,
•
Jupyter Notebook
• InService
Jupyter Notebook
• New → Terminal
Terminal
cd SageMaker/
wget http://bit.ly/sagemaker-notebooks -O sagemaker-notebooks.zip
unzip sagemaker-notebooks.zip
O( )
Jupyter Notebook
sagemaker-notebooks
•
• Random Cut Forest
• XGBoost MNIST
• Chainer on SageMaker
• Chainer MLP
MNIST
: Random Cut Forest
Random Forest
(1) (2)
……
≤ 1 > 1
≤ 0.2 > 0.2
: XGboost
……
≤ 1 > 1
≤ 0.2 > 0.2
≤ 0.8 > 1
≤ 0.6 > 0.6
Amazon SageMaker 紹介 & ハンズオン(2018/07/25 実施)

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