class_docstr: Linear unit regularized by simplified dropconnect.
class_docstr_tok: ["Linear","unit","regularized","by","simplified","dropconnect","."]
code: def __init__(self, ratio, mask=None, use_batchwise_mask=True):
      self.ratio = ratio
      self.mask = mask
      self.use_batchwise_mask = use_batchwise_mask
  
file_path: chainer/chainer/functions/noise/simplified_dropconnect.py
imports: import numpy
  from chainer import backend
  from chainer import function_node
  import chainer.functions
  from chainer.utils import type_check
  from chainer import variable
label_desc: Use image node_id 1 to create a new SimplifiedDropconnect object from inherited base classes: function_node with example: obj = SimplifiedDropconnect(ratio, mask, use_batchwise_mask)