The fraction of the DataSet size to hold back during training to validate the network against.
The fraction of the DataSet size to hold back during training to validate the network against.
METHOD:: identity, relu, sigmoid, tanh
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.
The fraction of the DataSet size to hold back during training to validate the network against.
METHOD:: identity, relu, sigmoid, tanh
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::
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