AWS Mobile Week at the San Francisco Loft Hands-On Lab: Building a Smarter Mobile App with Machine Learning In this hands-on session, we'll build a native iOS Swift app using managed machine learning service such as Amazon Translate and Amazon Polly. Speaker: Dennis Hills - Developer Advocate, AWS Mobile Applications

1. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Hands-On: Building a Smarter Mobile App
with Machine Learning on the Edge
Dennis Hills
Developer Advocate, AWS Mobile
Pop-up Loft

2. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Machine Learning on the Edge - Implementation
Call Application Services
Build/Train in Cloud – Deploy Model to Device
Build/Train in Cloud – Host Model Behind API
Utilize Platform APIs
Pass Input Data Directly to AWS Lambda
SageMaker
Hands
on
Hands
on

3. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Application Services for Mobile ML on the Edge
PLATFORM SERVICES
APPLICATION SERVICES
FRAMEWORKS & INTERFACES
Caffe2 CNTK
Apache
MXNet
PyTorch
TensorFlo
w
Torch Keras Gluon
AWS Deep Learning AMIs
Amazon SageMaker AWS DeepLens
Transcribe Translate Polly Comprehend LexRekognition

4. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Natural Language – Let’s Build it!
https://github.com/mobilequickie/AmazonSpeechTranslator
Speech Recognition, Translation, and Text-to-Speech on
iOS

5. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Thank you
Get Started:
aws.amazon.com/mobile
Dennis Hills on Twitter: @dmennis