What is MLP (Multilayer Perceptron)?

Multilayer Perceptron is a bunch of outputs from a bunch of inputs. An MLP utilizes backpropagation as a supervised learning procedure. MLP is generally utilized for tackling issues that require supervised learning and research into computational neuroscience and parallel distributed processing. Applications incorporate speech recognition, image recognition and machine translation. An MLP comprises no less than three layers of nodes: an input layer, a hidden layer and an output layer.