🧠 RNN in C

This is a simple implementation of a Recurrent Neural Network (RNN) in pure C.
It demonstrates the concept of forward propagation over a sequence of time-series inputs without using any external libraries.

📁 Project Structure

rnn-c/
├── include/             # Header files
│   ├── rnn.h            # RNN structure and declarations
│   └── utils.h          # Utility functions (e.g., matrix multiplication)
├── src/                 # Source code
│   ├── rnn.c            # RNN logic (init, forward, print)
│   └── utils.c          # Math utility implementation
├── data/                # Example input data (optional)
│   └── sample_input.txt
├── main.c               # Program entry point
├── Makefile             # Build configuration
└── README.md            # This file

🧪 Requirements

GCC or compatible C compiler (e.g. gcc, clang)
make (for building the project)

⚙️ Build Instructions

1. Clone or download the project:

git clone https://github.com/nomadsdev/rnn-model-with-c.git
cd rnn-c

2. Build the project using `make`:

make

This compiles all .c files and generates an executable named rnn.

🚀 Running the Program

./rnn

Expected Output:

Time step 0: Output: 0.4938
Time step 1: Output: 0.4962
Time step 2: Output: 0.4975

The program performs forward propagation across 3 time steps using a hardcoded input sequence (0.1, 0.5, 0.9) and prints the output of the RNN at each step.

🧰 How to Modify Inputs

To change the input sequence:

Open main.c
Modify the inputs[] array:

float inputs[] = {0.2f, 0.4f, 0.6f, 0.8f};

Rebuild the project:

make clean && make
./rnn

🛠️ How to Extend This Project

Here are some ideas for improving this base project:

✅ Add Backpropagation Through Time (BPTT)
📉 Loss function and training loop
📁 Load input from file (sample_input.txt)
🧠 Increase model complexity (e.g., stacked RNN layers)
💾 Save and load weights to/from file

nomadsdev/rnn-model-with-c