public AddExperiment(Experiment experiment, NetConfig config)
{
InitializeComponent();
this.newExp = experiment;
r = new Random();
_config = config;
}
public NeuNet(NetConfig Config)
{
r = new Random();
learner = new LearnDataGenerator();
this.config = Config;
//(100, 0.2, 0.0001);
era = 0;
this.N0 = config.NumInput;
this.N1 = config.NumHidden;
this.N2 = config.NumOutput;
fxHidden = new List <int>(); //hidden layer fixed
inputIndecies = new List <int>(N2);
}
int MaxFixedCount = 10; // max number of fixed neurons
//total = AttemptsOnCurrentIndex * AttemptsOnCurrentCount * MaxFixedCount times we will learn out NeuNet.
public MainForm()
{
InitializeComponent();
this.tbStatus.ScrollBars = RichTextBoxScrollBars.ForcedHorizontal;
this.clbExperiments.CheckOnClick = false;
config = new NetConfig {
maxEpoch = 3000, minError = 0.005, minErrorChange = 1E-9, NumInput = 784, NumHidden = 50, NumOutput = 10
};
net = new NeuNet(config);
exps = new ExperimentsWorker();
graph = new GraphWorker();
getData = new GetDataForAutoLearning(this.config);
running = false;
logger = new Logger();
}
public GetDataForAutoLearning(NetConfig config)
{
InitializeComponent();
this._config = config;
}