Nodes and layers

Nodes and layers

Just like human brains are formed of vast numbers of connected neurons, neural networks are formed of connected nodes.

The nodes are organised into various layers.

The input layer is the first layer that the data is fed into.

The output layer is the final layer of the network and contains the almost-final outcome of the model.

The layers in between the input and output layer are called hidden layers.