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],
        keepdims=True) # Author code uses std + 1e-5 return

237D..239A    ; valid                  ;      ; NV8    # 3.0  SHOULDERED OPEN BOX..CLEAR SCREEN SYMBOL
239B..23CE    ; valid                  ;      ; NV8    # 3.2  LEFT PARENTHESIS UPPER HOOK..RETURN SYMBOL
23CF..23D0    ; valid                  ;      ; NV8    # 4.0  EJECT SYMBOL..VERTICAL LINE EXTENSION
23D1..23DB    ; valid                  ;      ; NV8    # 4.1  METRICAL BREVE..FUSE