def load_parameters(self, parameters):
L = len(parameters) // 2
deep = L - 1
wide = parameters["W1"].shape[0]
self._n_x = parameters["W1"].shape[1]
self._n_y = parameters["W" + str(L)].shape[0]
self._layer_dims = [self._n_x] + [wide] * deep + [self._n_y]
self._activations = [Tanh()] * deep + [Linear()]
self._parameters = parameters
def initialize(cls, n_x=None, n_y=None, deep=2, wide=12):
layer_dims = [n_x] + [wide] * deep + [n_y]
parameters = initialize_parameters(layer_dims)
activations = [Tanh()] * deep + [Linear()]
attributes = {"_parameters": parameters,
"_activations": activations,
"_layer_dims": layer_dims,
"_n_x": n_x,
"_n_y": n_y}
return cls(**attributes)