Argument list for add_weights part 1.3

[claudiusli]

    self.W = self.add_weight("weight", shape=[d, self.n_output_nodes]) # note the dimensionality
    self.b = self.add_weight("bias", shape=[1, self.n_output_nodes]) # note the dimensionality

results in an error because it tries to use "weight" and "bias" as shape values due to positioning and then redfines them by name.

It can be fixed by adding 'name = ' before the values.

    self.W = self.add_weight(name = "weight", shape=[d, self.n_output_nodes]) # note the dimensionality
    self.b = self.add_weight(name = "bias", shape=[1, self.n_output_nodes]) # note the dimensionality