class_docstr: Single-GPU AlexNet without partition toward the channel axis.
code: def __init__(self):
      super(Alex, self).__init__()
      with self.init_scope():
          self.conv1 = L.Convolution2D(None, 96, 11, stride=4)
          self.conv2 = L.Convolution2D(None, 256, 5, pad=2)
          self.conv3 = L.Convolution2D(None, 384, 3, pad=1)
          self.conv4 = L.Convolution2D(None, 384, 3, pad=1)
          self.conv5 = L.Convolution2D(None, 256, 3, pad=1)
          self.fc6 = L.Linear(None, 4096)
          self.fc7 = L.Linear(None, 4096)
          self.fc8 = L.Linear(None, 1000)
  
imports: import chainer
  import chainer.functions
  import chainer.links
label_desc: Use image node_id 1 to create a new Alex object from inherited base classes: chainer with example: obj = Alex()