class_docstr: Implementation of a Network In Network model
  
  :param num_classes (int): Number of classes for classification
  :param in_channels (int): Number of channels in input specimens
class_docstr_tok: ["Implementation","of","a","Network","In","Network","model",":","param","num_classes","(","int",")",":","Number","of","classes","for","classification",":","param","in_channels","(","int",")",":","Number","of","channels","in","input","specimens"]
code: def forward(self, x):
      x = self.features(x)
      x = x.view(x.size(0), self.num_classes)
      return x
  
imports: from torch import nn
label_desc: Use image node_id 2 for calling the NetworkInNetwork obj's underlying member method code with example usage: obj.forward(x) and returns: x