Neural Networks

Neural Network

Neural Networks are a set of algorithms, modeled loosely after the human brain, that are designed to recognize patterns. They interpret sensory data through a kind of machine perception, labeling or clustering raw input. The patterns they recognize are numerical, contained in vectors, into which all 

real-world data, be it images, sound, text or time series, must be translated. 

Neural networks can also extract features that are fed to other algorithms for clustering and classification; so we can think of deep neural networks as components of larger machine-learning applications involving algorithms for classification andregression.

It is a simple feed forward network or multilayer perceptron. It takes the inputs, feeds it through several layers one after the other, and then finally gives the output.