A convolution neural network is a part deep neural network. Usually a convolution neural networks consist of many neurons which is similar to human brain neural network . It collects the input and converts it into a series of hidden layers. Hidden layer is made up of neurons A convolution neural network different kinds of activation function, which is used for passing the output to the next set of layer. A recurrent neural network (rnn) is a class of artificial neural network where connections between nodes from a directed graph along a sequence . This allows it to exhibit temporal dynamic behavior for a time sequence . The term recurrent neural network is used indiscriminately to refer to two broad class of neural networks with a similar general structure, where one is a finite impulse and other is infinite impulse