class_docstr: Simple linear layer, initialized at near zero weights and zero biases.
class_docstr_tok: ["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=hk.initializers.VarianceScaling(scale)
      )
  
file_path: acme/acme/jax/networks/continuous.py
imports: from typing import Callable, Sequence
  import haiku
  import jax
  import jax.numpy
label_desc: Use image node_id 1 to create a new NearZeroInitializedLinear object from inherited base classes: hk with example: obj = NearZeroInitializedLinear(output_size, scale)