code: def xavier_init(fan_in, fan_out, constant=1): 
      
      # https://stackoverflow.com/questions/33640581/how-to-do-xavier-initialization-on-tensorflow
      low = -constant*np.sqrt(6.0/(fan_in + fan_out)) 
      high = constant*np.sqrt(6.0/(fan_in + fan_out))
      return tf.random_uniform((fan_in, fan_out), 
                               minval=low, maxval=high, 
                               dtype=tf.float32)
docs: Xavier initialization of network weights