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mlp

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OpenCL for Nets - A Deep Learning Framework based on OpenCL, written by C++. Supports popular MLP, RNN(LSTM), CNN(ResNet). Friendly debugger. Transparent data. No library dependencies. 基于OpenCL的深度学习计算框架,C++开发,支持多层感知器,长短时记忆模型,卷积神经网络,残差网络。调试方便,数据透明。无外部依赖。

  • Updated Jun 3, 2019
  • C

This project performs motion classification using accelerometer data (accX, accY, accZ) on an STM32 board. The AI model is built using NanoEdge AI Studio, and sensor data is collected via a USB serial emulator for training and testing. It demonstrates how embedded AI can detect different movements (like tilt, shake, or rest) directly on the device

  • Updated Oct 30, 2025
  • C

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