C++ Neural Networks

A neural network library for creating simple and fast models in c++

Why?

C++ goes brr...

Example

Simple model with two hidden layers

• Above is an example of a model with two hidden layers used for multiclass classification on the mnist dataset

Syntax

Initialize a model:

Model model = Model();

Add input layer first (cruical):

model.addLayer(std::unique_ptr<Dense>(input_data, "layer_name"))

Add linear layer (dense) with activation function:

model.addLayer(std::unique_ptr<Dense>(num_neurons, "activation", "layer_name"))

• NB! The layers passed into the method must be smart pointers of the class instance

Train the model:

model.fit(input_data, labels, epochs, learning_rate)

• NB! labels must be one-hot encoded