Deep Learning: Practical Neural Networks with Java

A basic neural architecture – perceptrons

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 ...