Extension: Artificial Neural Networks in C

Folder Structure

src: Contains the source code for the project. Two modules: matrix and network.
tests: Contains unit and integration tests for the project.
- test_matrix.c: Unit tests for the matrix module.
- test_network.c: Unit tests for the network module.
- test_xor: Integration tests for a full neural network to learn the XOR function.
examples: An example of a non-trivial neural network that learns to recognize handwritten digits. The network is trained on the MNIST dataset, with about 100K training examples.
client: Contains a simple interface in python to interact with the neural network. You can there draw a digit and the network will try to recognize it in real time! Give it a go!

To build the project, run the following commands:

make

To run the tests, run the following commands:

./build/test_matrix
./build/test_network
./build/test_xor
./build/test_mnist

As it stands, the mnist has about 98% accuracy!

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Accuracy: 0.976300 
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To run the client, run the following commands:

cd client
python mnist_client.py