CoreNet is a lightweighted neural network framework, to create a simple neural network.
The following code creates a simple network and train it using the MNIST dataset.
//Generator to generate network initial weights
//Here weights between 0 and 1 will be created
WeightGenerator generator = new WeightGenerator(0.0f, 1.0f);
//Create neural network with random weights from generator
//Network has 784 input neurons, 10 output neurons (MNIST) and no hidden layers
NeuralNetwork testNetwork = new NeuralNetwork(generator, 784, 10, 0);
//Create MNIST Dataset trainer and start test before training
MnistTrainer trainer = new MnistTrainer();
System.out.println("Starting test...");
trainer.test(testNetwork);
//Train until the network reach a success rate of 88 percent
float learnEffect = 0.01f;
while(trainer.train(testNetwork, learnEffect) < 0.9f){
learnEffect *= 0.9f;
}
//start graphical and interactive MNIST simulator
trainer.simulate(testNetwork);After the training u can check the resulting network with the graphical mnist simulator.
JavaDoc: https://suuirad.github.io/CoreNet/
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