544625545afe2e9c2b358e356c11bb8be53ceb51,keras/optimizers.py,Adagrad,__init__,#Adagrad#Any#Any#Any#,320

Before Change

            self.learning_rate = K.variable(learning_rate, name="learning_rate")
            self.decay = K.variable(decay, name="decay")
            self.iterations = K.variable(0, dtype="int64", name="iterations")
        if epsilon is None:
            epsilon = K.epsilon()
        self.epsilon = epsilon
        self.initial_decay = decay

    @interfaces.legacy_get_updates_support

After Change

    def __init__(self, learning_rate=0.01, momentum=0.,
                 nesterov=False, **kwargs):
        learning_rate = kwargs.pop("lr", learning_rate)
        self.initial_decay = kwargs.pop("decay", 0.0)
        super(SGD, self).__init__(**kwargs)
        with K.name_scope(self.__class__.__name__):
            self.iterations = K.variable(0, dtype="int64", name="iterations")
            self.learning_rate = K.variable(learning_rate, name="learning_rate")
            self.momentum = K.variable(momentum, name="momentum")
            self.decay = K.variable(self.initial_decay, name="decay")
        self.nesterov = nesterov

    @interfaces.legacy_get_updates_support

Instances