47ed18a3af8be20dce91286a331d4671074ee0ca,keras/layers/recurrent.py,GRU,build,#GRU#,278

Before Change

        self.W_h = self.init((input_dim, self.output_dim))
        self.U_h = self.inner_init((self.output_dim, self.output_dim))
        self.b_h = shared_zeros((self.output_dim))

        self.params = [
            self.W_z, self.U_z, self.b_z,
            self.W_r, self.U_r, self.b_r,

After Change

            self.states = [K.zeros(input_shape[0], self.output_dim)]
        else:
            // initial states: all-zero tensor of shape (output_dim)
            self.states = [None]

        if self.initial_weights is not None:
            self.set_weights(self.initial_weights)
            del self.initial_weights

Instances