class_docstr: Simple linear layer, initialized at near zero weights and zero biases.
code: def __init__(self, output_size: int, scale: float = 1e-4):
      super().__init__(
          output_size, w_init=tf.initializers.VarianceScaling(scale)
      )
  
imports: from typing import Callable, Optional, Sequence
  from acme import types
  from acme.tf import utils
  from acme.tf.networks import base
  import sonnet
  import tensorflow
label_desc: Use image node_id 1 to create a new NearZeroInitializedLinear object from inherited base classes: snt with example: obj = NearZeroInitializedLinear(output_size, scale)