class_docstr: Large CNN module proposed for DQN in Nature, 2015.
  
  See: https://www.nature.com/articles/nature14236
class_docstr_tok: ["Large","CNN","module","proposed","for","DQN","in","Nature",",","2015",".","See",":","https",":","\/\/www.nature.com\/articles\/nature14236"]
code: def forward(self, state):
      h = state
      for layer in self.layers:
          h = self.activation(layer(h))
      h_flat = h.view(h.size(0), -1)
      return self.activation(self.output(h_flat))
  
file_path: pfrl/pfrl/nn/atari_cnn.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  from pfrl.initializers import init_chainer_default
label_desc: Use image node_id 2 for calling the LargeAtariCNN obj's underlying member method code with example usage: obj.forward(state) and returns: self