Perceptron is the most simple neural network architecture. Projected by Frank Rosenblatt in 1957, it has just one layer of neurons, receiving a set of inputs and producing another set of outputs. This was one of the first representations of neural networks to gain attention, especially because of their simplicity:
In our Java implementation, this is illustrated with one neural layer (the output layer). The following code creates a perceptron with three inputs and two outputs, having the linear function at the output layer:
int numberOfInputs=3;
int numberOfOutputs=2;
Linear outputAcFnc = new Linear(1.0);
NeuralNet perceptron = new NeuralNet(numberOfInputs,numberOfOutputs,
outputAcFnc);