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Sivamuthu Kumar
July 22, 2020
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Build Smarter Apps with Flutter & Machine Learning
Sivamuthu Kumar
July 22, 2020
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Transcript
Build Smarter Apps with Flutter & Machine Learning SivamuthuKumar Flutter
Mumbai – July 2020
Agenda • Flutter & Machine Learning • Build ML models
– GCP ML Offerings • ML Inference on device/edge • Demo
Sivamuthu Kumar Software Architect, Computer Enterprise Inc, Cloud, Mobile, IoT,
ML Orlando, FL ksivamuthu ksivamuthu ksivamuthu
Flutter
None
None
Machine Learning
Machine Learning Artificial Intelligence – AI Science of getting machines
to do the things what they do in movies. (Mimic human behavior) Machine Learning – ML Subset of AI - The science of getting computers to act without being explicitly programmed. Deep Learning Subset of ML - Learning based on deep neural network.
Google’s AI Building Blocks
AI building blocks make it easy to add the human
like capabilities of sight, language, and conversation to your applications.
Machine Learning APIs Pre trained models ML Engine / Deep
Learning VMs Custom Models Cloud AutoML Application Developers Data scientists & Practitioners @ksivamuthu Spectrum of AI Building Blocks
Cloud Vision Cloud Speech Cloud Natural Language Cloud Video Intelligence
Cloud Translation @ksivamuthu Fully trained, easy to use ML models
Machine Learning APIs
TensorFlow TPUs Google Machine Perception Pre-trained ML APIs and AutoML
Energy Auto Finance Entertainment Media Manufacturing / Agriculture Retail @ksivamuthu
Ensure Mask
Ensure Mask • Preparing Dataset • Training • Evaluation •
Exporting model to run in Edge/Device • Running inference in device
Google Cloud AutoML Vision
None
None
Flutter ML Libraries • mlkit • firebase_ml_vision • tflite
Code walkthrough
Thank you Sivamuthu Kumar ksivamuthu