Layer-by-layer network initialization function
net = initlay(net)
info = initlay('code')
initlay is a network initialization function that initializes each layer
i according to its own initialization function
net.layers{i}.initFcn.
net = initlay(net) takes
net | Neural network |
and returns the network with each layer updated.
info = initlay(' returns useful
information for each supported code')code character vector:
'pnames' | Names of initialization parameters |
'pdefaults' | Default initialization parameters |
initlay does not have any initialization parameters.
You can create a standard network that uses initlay by calling
feedforwardnet, cascadeforwardnet, and many other network
functions.
To prepare a custom network to be initialized with initlay,
Set net.initFcn to 'initlay'.
This sets net.initParam to the empty matrix [], because
initlay has no initialization parameters.
Set each net.layers{i}.initFcn to a layer
initialization function. (Examples of such functions are initwb and
initnw.)
To initialize the network, call init.
The weights and biases of each layer i are initialized according to
net.layers{i}.initFcn.
cascadeforwardnet | feedforwardnet | init | initnw | initwb