The mechanism by which the two kinds of NNs represent these patterns is different, however. In the case of a CNN, you are looking for the same patterns on all the different subfields of the image. read more
Difference between CNN and RNN are as follows : CNN: CNN take a fixed size input and generate fixed-size outputs. CNN is a type of feed-forward artificial neural network - are variations of multilayer perceptrons which are designed to use minimal amounts of preprocessing. read more
Difference between CNN and RNN are as follows: CNN: CNN takes a fixed size inputs and generates fixed-size outputs. CNN is a type of feed-forward artificial neural network - are variations of multilayer perceptrons which are designed to use minimal amounts of preprocessing. read more