Neural-Network

Learning Neural Network from Raw

Simple Basic Structure of NN

Input Layer

Dimensions of vectors that was input to the program.

Hidden Layer

Represents the intermediate nodes that partition the input space into areas with boundaries. \n It does this by receiving a set of weighted input and then producing output using an activation function.

Output Layer

Represents the result of Neural Network's Processing