Ameba IoT Docs
  • Products Center
  • Ameba SDK
  • Ameba Solutions
  • 0.1 GCC Build Environment
  • 0.2 GDB Debug
  • 0.3 Build System
  • 0.4 SDK Example
  • 0.5 Flash & RAM Layout
  • 0.6 User Config
  • 0.7 Tools
  • 0.8 AT Commands
  • 0.9 Virtual File System
  • 0.a Flash Translation Layer
  • 1.0 Memory Management & Cache
  • 1.1 Boot Process
  • 1.2 OTA
  • 1.3 OTPC
  • 1.4 Chip Enable
  • 1.5 Inter Processor Communication
  • 1.6 Pin Multiplexing
  • 1.7 GPIO & Pin Control
  • 1.9 Power Saving
  • 2.0 Wi-Fi Basic Mode
  • 2.1 WHC Bridge
  • 2.2 WHC FullMAC
  • 2.3 Wi-Fi R-Mesh
  • 2.4 Wi-Fi CSI
  • 2.5 Wi-Fi Adaptivity Test
  • 2.6 Wi-Fi API Reference
  • 3.1 Security & Encryption
  • 3.2 True Random Number Generator
  • 3.9 Crypto Engine
  • 3.a ECDSA Engine
  • 3.b EDDSA Engine
  • 3.c RSA Engine
  • 3.d AP Secure Service
  • 4.1 AI
    • Supported SoCs
    • Overview
    • Build Tensorflow Lite Micro Library
    • Build Examples
    • Tutorial
  • 4.2 AIVoice
  • 4.3 Multimedia
  • 4.4 DSP
  • 6.1 Mass Production
  • 6.2 MP Tools
  • 7.1 USB Host & Device
  • 8.1 DMA Controller
  • 8.2 PSRAM
  • 8.3 Thermal Meter
  • 8.4 ADC
  • 8.5 IR
  • 8.6 LED Controller
  • 8.7 Cap-Touch
  • 8.8 Key-Scan
  • 8.9 RTC-IO
  • 8.a LCD Controller
Ameba IoT Docs
  • TensorFlow Lite for Microcontrollers (TFLM)

TensorFlow Lite for Microcontrollers (TFLM)

  • Supported SoCs
  • Overview
  • Build Tensorflow Lite Micro Library
  • Build Examples
  • Tutorial
    • MNIST Introduction
    • Step 1. Train a Model
    • Step 2. Convert to Tflite
    • Step 3. Optimize Tflite and Convert to C++
    • Step 4. Inference on SoC with Tflite-Micro
    • Step 5. Build Example
Previous Next

© Copyright 2025, Realsil.

Built with Sphinx using a theme provided by Read the Docs.