TinyFlow

This guide covers hardware selection, model optimization, toolchain operations, code implementation, and debugging techniques, using the STM32 series microcontrollers as an example: 1.Hardware Selection and Configuration (1)Clarify Requirements Computational Requirements: Simple classification tasks (e.g., binary classification of sensor data):Cortex-M0+/M3 (e.g., STM32G0/F1) are sufficient. Complex tasks (image recognition, speech processing): Choose models with hardware acceleration (e.g., … Read more