The fraction of the DataSet size to hold back during training to validate the network against.
METHOD:: identity, relu, sigmoid, tanh
A set of convinience constants for the available activation functions.
A set of convinience constants for the available activation functions. Beware of the permitted ranges of each: relu (0->inf), sigmoid (0->1), tanh (-1,1)
The fraction of the DataSet size to hold back during training to validate the network against.
METHOD:: identity, relu, sigmoid, tanh
A set of convinience constants for the available activation functions.
A set of convinience constants for the available activation functions. Beware of the permitted ranges of each: relu (0->inf), sigmoid (0->1), tanh (-1,1)
INSTANCEMETHODS::
@ -150,7 +150,7 @@ d = Dictionary.with(
});
)
//We should see a single cycle of a chirp. if not,
//We should see a single cycle of a chirp. If not, fit a little more epochs