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Edge Ml

Deploying ML models on edge-computing devices

Methods:

Leverage hardware-accelerator
Use mobile-optimized architecture
Apply quantization
Apply pruning

Formats: tensorflow-lite, json-format + bin

Platforms: Android, Raspberry Pi, google-coral

High-level APIs: ml-kit Customizable: tensorflow-lite, Google Cloud

References

Edge Deployment Guide - TensorFlow
Mobile ML Deployment - Google Developers

#ml-notes

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