SANN
WIP (in future I will add rnn, cnn, lstm, gru and examples)
Simple Artificial Neural Network java library
Creating neural network
Variant 1
//create new net (input len, hidden layers, hidden len, output len)
Net net = new Net(3, 2, 2, 1);
//initialize weights and fill weights randomly
net.setup();
Variant 2 (same structure)
//create net
Net net = new Net();
//add layers (layers, neurons in layers)
net.addLayers(1, 3);//input
net.addLayers(2, 2);//hidden
net.addLayers(1, 1);//output
//initialize weights and fill weights randomly
net.setup();
Training
double[][] input = {{1.0d, 0.0d, 1.0d}, {0.0d, 1.0d, 0.0d}, {0.0d, 0.0d, 1.0d}, {1.0d, 0.0d, 1.0d}};
double[][] output = {{1.0d}, {0.0d}, {0.0d}, {1.0d}};
//setting up target values for training
net.setTrainingData(input, output);
//start training (k, iterations)
net.train(0.2, 10000);
Listeners
net.setOnTrainingListener(new Net.OnTrainingListener() {
@Override
public void onTraining(int iteration, double error) {
//doingSomething();
}
@Override
public void onTrainingFinished(int iteration, double error) {
//doingSomething();
}
});
Implementation
allprojects {
repositories {
...
maven { url 'https://jitpack.io' }
}
}
dependencies {
implementation 'com.github.korpusovmax:simple-ann:$version' // use version from releases or use '-SNAPSHOT'
}
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