N2CMU is a project aimed at implementing a neural network coprocessing microcontroller unit (MCU) for STM32F103C8T6 Bluepill development board using the TinyGo (Go programming language for embedded systems). This MCU enables offloading feedforward neural network computations to a dedicated hardware unit, allowing for efficient and low-power feedforward neural network training and inference on small hardware embedded systems.
Features
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Neural Network Coprocessing
N2CMU allows offloading feedforward neural network computations to a dedicated coprocessing unit, freeing up the main microcontroller for other tasks.
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UART Communication
Communication with N2CMU is facilitated via UART, enabling external devices to control and interact with the coprocessing unit.
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Flexible Configuration
N2CMU supports dynamic configuration of neural network parameters such as input, hidden, and output neuron counts, as well as weights, biases, and gradients.
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Training and Inference
The coprocessing unit supports both training and inference modes, allowing for the optimization of neural network models directly on the microcontroller.
