This symbol represents the sizes of the layers in a neural network.
This symbol represents the sizes of the layers in a neural network. It can be indexed to obtain the size of a specific layer, e.g. \(L^2\) is the size of the second layer.
The symbol, L, represents the sizes of the layers in a neural network. It can be indexed to obtain the size of a specific layer, e.g. \(L^3\) is the size of the third layer.
In the case of the multi-layer perception, L can define the whole structure of the network by defining the size of the input, hidden and output layers.