In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers. A binary classifier is a model which can decide whether an input belongs to some specific class.
Neural Networks work the same way as the perceptron. Perceptron is a single layer neural network and a multi-layer perceptron is called Neural Networks. We find ourselves in a decade in which neural networks are sparking a lot of attention. This was not always the case. The study of neural networks goes back to the 1940s, when the first neuron metaphor emerged. Due to the high speed processors of today and the big amount of data that is available thanks to the Internet, the stacked Perceptron of the neural networks model is living its high Summer.