665b0076e089dbe60ecadc34bf2cbff9d7042482,keras/optimizers.py,SGD,__init__,#SGD#Any#Any#Any#,171

Before Change

            self.iterations = K.variable(0, dtype="int64", name="iterations")
            learning_rate = kwargs.pop("lr", learning_rate)
            self.lr = K.variable(learning_rate, name="learning_rate")
            self.momentum = K.variable(momentum, name="momentum")
            self.decay = K.variable(self.initial_decay, name="decay")
        self._momentum = True if momentum > 0. else False
        self.nesterov = nesterov
        super(SGD, self).__init__(**kwargs)

After Change

            self.lr = K.variable(lr, name="lr")
            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
    def get_updates(self, loss, params):

Instances