● Mobile Devs looking for ways to build
smarter apps
● Mobile Devs looking for ways to
integrate ML in their existing apps
easily
Ideal Audience
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Why care about ML in
Android?
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Why care about on-device ML
in Android?
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● Power Consumption
Why should you care?
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● Power Consumption
● Inference Time
Why should you care?
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● Power Consumption
● Inference Time
● Network availability
Why should you care?
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● Power Consumption
● Inference Time
● Network availability
● Privacy
Why should you care?
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ML Model
Binding Plugin
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Easier to use
Enable Hardware acceleration
Faster Development
ML Model Binding Plugin
What’s new for on-device ML in Android?
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Importing a
TF Lite Model
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Importing a
TF Lite Model
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Importing a
TF Lite Model
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Using the
TF Lite Model
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Creating an Instance of model
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Processing images
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Passing in data
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Passing in data
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Passing in data
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Passing in data
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Adding labels
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We are done
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GPU Acceleration
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A new
ML Kit
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Face
detection
Barcode
scanning
Image
labeling
Smart Reply
Language
Identification
Vision Natural Language
Object
detection
and tracking
On-device
Translation
Text recognition
Digital Ink
Recognition
Pose Detection
N
EW
N
EW
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On-Device ML
Better customizability
Generic use cases
A new ML Kit
What does the latest ML Kit focus on?
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Setup the model
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Customize the model
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● High performance
● Super easy to use
● High customization too!
TF Lite Model Maker