deep learning on aws with tensorflow - aws online tech talks

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

Guy Ernest, Principal Solutions Architect, Amazon

AIOct 24, 2017

Introduction to Deep Learning

on AWS with TensorFlow


Why are we here?

Why Deep Learning?

Why Now?

Why Cloud?

Why Amazon?

Why You?

Why TensorFlow?

Why Keras?

Why Not a Demo?


Why are we here?

Why Deep Learning?


Neural Style Transfer


Why are we here?

Why Now?


Fast Compute

Ubiquitous Data

Advanced Learning Algorithms


Why are we here?

Why Cloud?


The circle of ML

Front-End team

Data Engineering team

Analysts / DS team

DevOps team

Business Problem

Data

ML Model

ML Application


The circle of ML

Front-End team

Data Engineering team

Analysts / DS team

DevOps team

Business Problem

Data

ML Model

ML Application

S3

EMR

Kinesis *

Redshift

Athena

Glue

ECSLambda

API-GW

Code *

DMS

EB

P2

Spot

Batch IoT

GreenGrass

FPGA

Edge

Snowball


AWS Snowball Edge

100T Data Transport Device

With On-board Compute


Why are we here?

Why Amazon?


Artificial Intelligence At AmazonThousands Of Employees Across The Company Focused on AI

Discovery &

Search

Fulfilment &

Logistics

Enhance

Existing Products

Define New

Categories Of

Products

Bring Machine

Learning To All


• Applied Research

• Core Research

• Alexa

• Demand Forecasting

• Risk Analytics

• Search

• Recommendations

• AI Services | Rek, Lex, Polly

• Q&A Systems

• Supply Chain Optimization

• Advertising

• Machine Translation

• Video Content Analysis

• Robotics

• Lots of Computer Vision..

• NLP / NLU

Just a few Deep Learning Use Cases at Amazon…


Running AI In Production on AWS Today


Pinterest

Visual Search


Pinterest Lens


Recommendations & Ranking At Netflix

Personalized ranking,

page generation,

search, similarity, ratings

In 140 new countries,

simultaneously


Why are we here?

Why You?


Amazon AIIntelligent Services Powered By Deep Learning


More in

2017

Infrastructure CPU

Engines MXNet TensorFlow Caffe Theano Pytorch CNTK

ServicesAmazon Polly

Platforms

IoT

Speech

Mobile

Amazon

ML

Spark &

EMRKinesis Batch ECS

GPU

More in

2017

Chat

Amazon Lex

Amazon AI: Machine Learning In The Hands Of Every Developer

Amazon Rekognition

Vision


Why are we here?

Why TensorFlow?


TensorFlow Execution Engine

Python Frontend

Deep Learning Layers

Keras API

Canned Estimators

TensorFlow Layers

with tf.Session() as sess:

sess.run(init)

sess.run(optimizer)

tf.layers.dense(…)

tf.layers.conv2d(…)


Execution

Graph

TensorFlow Execution Engine


Why are we here?

Why Keras?


TensorFlow Execution

Engine

Python Frontend

Deep Learning Layers

Keras API

Canned Estimators

Keras Example

from keras.models import Sequential

model = Sequential()

from keras.layers import Dense, Activation

model.add(Dense(units=64, input_dim=100))

model.add(Activation('relu'))

model.add(Dense(units=10))

model.add(Activation('softmax'))

model.compile(loss='categorical_crossentropy',

optimizer='sgd', metrics=['accuracy'])

model.fit(x_train, y_train, epochs=5, batch_size=32)


“Sounds great!

How can we get started?”


Code WalkthroughMNIST (Hello World) with Keras on Tensorflow


AWS Deep Learning AMI: One-Click GPU Deep Learning

Up To 40,000

CUDA Cores

Python 3 Notebooks

& Examples

(and others)(Volta at launch)

Scale for

Training

TensorFlow,

Apache MXNet


Learn more:

AWS Deep Learning AMIs: https://aws.amazon.com/amazon-ai/amis/

TensorFlow on AWS: https://aws.amazon.com/tensorflow/

https://aws.amazon.com/amazon-ai/amis/

https://aws.amazon.com/tensorflow/


Thank You!

deep learning on aws with tensorflow - aws online tech talks

Documents