CNeuron:

Basic Singular Neural Network Neuron Implementation in C

CNeuron is a simple singular neural network neuron implementation in C, designed for easy integration into C projects.

This implementation focuses on a single neuron with functions for initialization, training, saving, loading, and processing data.

The neuron utilizes Leaky Rectified Linear Unit (LeakyReLU) & Stochastic Gradient Descent with Momentum (SGDM).

Please Note: This was a side project built out of pure curiosity as I was learning the C programming language and is only intended for educational purposes.

Table of Contents

• Features
• Getting Started
  • Prerequisites
  • Installation
• Usage
  • Neuron Initialization
  • Forward Propagation
  • Training
  • Saving and Loading
  • Dataset Processing
• Contributing
• License

Features

• Neuron Initialization: Initialize a neural network neuron with specified parameters.
• Forward Propagation: Perform forward propagation for a given input.
• Training: Train the neuron using backpropagation with customizable epochs and learning parameters.
• Saving and Loading: Save and load neuron parameters to/from a file.
• Dataset Processing: Read datasets from files in UTF-8 format.

Getting Started

Prerequisites

• C compiler (e.g., GCC)
• Standard C libraries (math.h, stdio.h, stdlib.h, string.h, time.h)

Installation

Clone the repository:

git clone https://github.com/ZJEydt/NeuralC.git
cd NeuralC

Compile the test code:

gcc NeuralC_Test.c NeuralC_Neuron.c -o NeuralC_Test

Contributing

Contributions are welcome! Please follow the Contribution Guidelines.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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