What are the different parts of a multi-layer perceptron?

Data Science, AI and ML
#1

Input Nodes: The Input nodes provide information from the outside world to the network and are together referred to as the “Input Layer”. No computation is performed in any of the Input
nodes – they just pass on the information to the hidden nodes.

Hidden Nodes: The Hidden nodes perform computations and transfer information from the input nodes to the output nodes. A collection of hidden nodes forms a “Hidden Layer”. While a network
will only have a single input layer and a single output layer, it can have zero or multiple Hidden Layers.

Output Nodes: The Output nodes are collectively referred to as the “Output Layer” and are responsible for computations and transferring information from the network to the outside world.