On-device ML reduces latency and improves privacy. Use model compression, quantization and runtime optimizations to deploy models to mobile and embedded hardware.
On-Device ML for Mobile & IoT
TinyML, quantization and deployment techniques.
TinyML, quantization and deployment techniques.
On-device ML reduces latency and improves privacy. Use model compression, quantization and runtime optimizations to deploy models to mobile and embedded hardware.