This repo contains code for a working Neuralt Network implementation in Java. The network can be constructed as follows:
int[] layers = {5, 7, 8, 2};
Network N = new Network(layers);where layers is an array specifying the number of hidden nodes in each layer of the network. Further parameters
can be added to the constructor to specify stuff like activations for each layer, cost function, and learning rate.
The Network can the be trained with:
N.train(input, expected);where input is the input Matrix and expected is the expected output of the network. Example usage of the Network
on the MNIST dataset can be found the Driver.java file (the actual data is
not included within the repo and must be downloaded separately and placed within a data directory). Supported
activations and cost functions can be found within their respective folders.