def recurrent_network_test(self):
first_default_layer = Layer.default(2, 5, self.linear_function)
second_default_layer = Layer.default(5, 2, self.linear_function)
default_network = Forward_network.default(
[first_default_layer, second_default_layer])
default_recurrent_network = Recurrent_network.default(default_network)
value = default_recurrent_network.activate_with(np.ones(1, 2))
value = default_recurrent_network.activate_recursive()
value = default_recurrent_network.activate_recursive()
value = default_recurrent_network.activate_recursive()
value = default_recurrent_network.activate_recursive()
value = default_recurrent_network.activate_recursive()
value = default_recurrent_network.activate_recursive()
value = default_recurrent_network.activate_recursive()
def stack_layer_test(self):
first_default_layer = Layer.default(4, 2, self.linear_function)
second_default_layer = Layer.default(4, 3, self.linear_function)
default_stack_layer = Stack_layer.default(
[first_default_layer, second_default_layer])
value = default_stack_layer.activate_with(np.ones(1, 4))
def feed_forward_network_test(self):
first_default_layer = Layer.default(4, 3, self.linear_function)
second_default_layer = Layer.default(3, 2, self.linear_function)
default_network = Forward_network.default(
[first_default_layer, second_default_layer])
value = default_network.activate_with(np.ones(1, 4))
def single_layer_test(self):
default_layer = Layer.default(4, 2, self.linear_function)
value = default_layer.activate_with(np.ones(1, 4))
