16b7d06575fb72f3a0c9d09f38efc17066daf473,elephas/optimizers.py,Adadelta,get_updates,#Adadelta#Any#Any#Any#,154

Before Change

    def get_updates(self, params, constraints, grads):
        accumulators = [shared_zeros(p.get_value().shape) for p in params]
        delta_accumulators = [shared_zeros(p.get_value().shape) for p in params]
        self.updates = []

        for p, g, a, d_a, c in zip(params, grads, accumulators,

After Change

            // update delta_accumulator
            new_d_a = self.rho * d_a + (1 - self.rho) * update ** 2
            new_weights.append(new_p)
        return new_weights

    def get_config(self):
        return {"name": self.__class__.__name__,

Instances