CNN in C

This project implements a simple Convolutional Neural Network (CNN) in C from scratch.

A convolutional layer with a subsequent Rectified Linear Unit (ReLU) activation. This structure forms the cornerstone of many sophisticated image processing and computer vision systems.

Structure

• src/: Contains the source code files.
• include/: Contains header files for the project.
• data/: Directory for input data files.
• tests/: Contains test files for validating functionality.
• Makefile: Build script for compiling the project.
• README.md: Documentation for the project.

Build Instructions

To compile the project, run:

make

After building, run the executable:

./BasicCNN

To run the tests, execute:

make test

Project Structure

cnn_project/
    │
    ├── src/                     # Source files
    │   ├── BasicCNN.c           # Main CNN implementation
    │   └── Utils.c              # Utility functions (if needed)
    │
    ├── include/                 # Header files
    │   ├── BasicCNN.h           # Header for CNN functions
    │   └── Utils.h              # Header for utility functions
    │
    ├── data/                    # Input data files
    │   └── InputData.txt        # Example input data file
    │
    ├── tests/                   # Test files
    │   └── TestBasicCNN.c       # Unit tests for CNN functions
    │
    ├── Makefile                 # Build script
    │
    └── README.md                # Project documentation