Backy is a neural network which is using the backpropagation algorithm. (Written in Googles Dart)
The Neuron The neuron defines how the output is computed and in what range...
The Neural Network:
It can be instanciated with any number of layer dimensions. For example:
2, 3, 1
which produces a net with 3 layers. The input layer has two inputs and the
output layer has 1 output neuron. The hidden layer has 3 neurons.
Train the network Use the "train"-method to tell the net what you expect from a certain input. net.train(<input>, <expected>);
e.g. train an XOR network:
Use the Network Once the network is trained, you can use it and it will return the output: <expected> = net.use(<input>);
-1, 1)); // prints probably:
The Trainer: The network needs usually many trainingsteps in orderto find the right weights and therefore the solution. Use the trainer in order to train backy more comfortably.
- Imagine the trainer as a personal trainer for a student.
- You tell the trainer what he should train the student.
- And he will repeat the training until the student produces the expected answers, or until a maximum of trainingrounds has been exceeded.
var student = new Backy(
2, 2, 1, neuron);
var trainer = new Trainer(student);
// 3. train all the traininCases up to 300 times and be satisfied with a precision of .1 trainer.trainOnlineSets(300, .1);
// After that you can use the neural network