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-# N2CMU
+# N2CMU (Neural Network Coprocessing Microcontroller Unit)
 
-Neural Network Coprocessing Microcontroller Unit (via UART) for STM32F103C8T6 Bluepill Devboard written in TinyGo.
\ No newline at end of file
+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
+
+- **Neural Network Coprocessing**: N2CMU allows offloading feedforward neural network computations to a dedicated coprocessing unit, freeing up the main microcontroller for other tasks.
+- **UART Communication**: Communication with N2CMU is facilitated via UART, enabling external devices to control and interact with the coprocessing unit.
+- **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.
+- **Training and Inference**: The coprocessing unit supports both training and inference modes, allowing for the optimization of neural network models directly on the microcontroller.
+
+## Getting Started
+
+### Prerequisites
+
+To run N2CMU on your STM32F103C8T6 Bluepill development board, you'll need:
+
+1. STM32F103C8T6 Bluepill development board
+2. ST-Link v2
+3. [TinyGo compiler](https://tinygo.org/getting-started/install/)
+4. [Qrepo](https://github.com/nthnn/Qrepo) package manager
+
+### Installation
+
+1. Clone the N2CMU repository to your local machine:
+
+```bash
+git clone https://github.com/nthnn/n2cmu.git
+```
+
+2. Connect your STM32F103C8T6 Bluepill development board to your computer using a USB to UART converter.
+
+3. Flash the code to your STM32F103C8T6 Bluepill development board using your ST-Link v2:
+
+```bash
+cd n2cmu
+qrepo run flash
+```
+
+4. You're now ready to interact with N2CMU and start utilizing its neural network coprocessing capabilities. Follow the example schematic below for Arduino UNO (but other boards will do).
+
+<p align="center">
+    <img alt="N2CMU Example Schematic" src="assets/n2cmu-schematics.png" />
+</p>
+
+5. Alternatively, you can manufacture your own Arduino UNO shield for N2CMU. Here's the Gerber file and PDF schematic file for N2CMU shield:
+
+    - [Arduino N2CMU shield PDF schematic](pcb/Arduino-N2CMU-Shield-Schematic.pdf)
+    - [Arduino N2CMU Gerber file](pcb/Arduino-N2CMU-Shield-Gerber.zip)
+
+6. See [n2cmu-arduino](https://github.com/nthnn/n2cmu-arduino) library for interacting with Arduino-powered boards.
+
+## Contributing
+
+Contributions to N2CMU are highly encouraged and appreciated! To contribute new features, bug fixes, or enhancements, please adhere to the following guidelines:
+
+1. Fork the N2CMU repository.
+2. Create a new branch for your changes: `git checkout -b feature-name`.
+3. Implement your changes and commit them: `git commit -m "Added new feature"`.
+4. Push your changes to the branch: `git push origin feature-name`.
+5. Submit a pull request for review and inclusion.
+
+## License
+
+Copyright (c) 2024 Nathanne Isip
+
+N2CMU is distributed under the GNU General Public License v3.0. For further details, refer to the [LICENSE](LICENSE) file.
+
+```
+This program is free software: you can redistribute it and/or modify  
+it under the terms of the GNU General Public License as published by  
+the Free Software Foundation, version 3.
+
+This program is distributed in the hope that it will be useful, but 
+WITHOUT ANY WARRANTY; without even the implied warranty of 
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU 
+General Public License for more details.
+
+You should have received a copy of the GNU General Public License 
+along with this program. If not, see <http://www.gnu.org/licenses/>.
+```