07C0..07F5    ; valid                                  # 5.0  NKO DIGIT ZERO..NKO LOW TONE APOSTROPHE
07F6..07FA    ; valid                  ;      ; NV8    # 5.0  NKO SYMBOL OO DENNEN..NKO LAJANYALAN
07FB..07FC    ; disallowed                             # NA   <reserved-07FB>..<reserved-07FC>
07FD          ; valid                                  # 11.0 NKO DANTAYALAN

        mean, var = tf.nn.moments(self.kernel, axes=[0, 1, 2], keepdims=True)
        return self.convolution_op(inputs, (self.kernel - mean) / tf.sqrt(var +
        1e-10))` Alternatively, you can override `convolution_op`: `python class
        StandardizedConv2D(tf.keras.Layer): def convolution_op(self, inputs,
        kernel): mean, var = tf.nn.moments(kernel, axes=[0, 1, 2],