class_docstr: Stem Layer as defined in https://arxiv.org/abs/1710.02238. The structure is
  significantly altered from the original Inception-ResNet architecture,
  (https://arxiv.org/abs/1602.07261) but the idea behind this layer is to
  downsample the image as a preprocessing step for the Inception-ResNet layers,
  and reduce computational complexity.
docstr: Builds the layers components and set _layers attribute.
docstr_tok: ["Builds","the","layers","components","and","set","_layers","attribute","."]
code: def _build_layer_components(self):
      """Builds the layers components and set _layers attribute."""
      self.conv_layer = Conv2D(
          filters=self.num_filters,
          kernel_size=4,
          strides=2,
          activation=tf.nn.relu,
      )
  
      self.activation_layer = ReLU()
      self._layers = [self.conv_layer, self.activation_layer]
  
imports: import tensorflow
  from tensorflow.keras.layers import Conv2D, Concatenate, ReLU, Add, MaxPool2D
label_desc: Use image node_id 2 for calling the Stem obj's underlying member method code with example usage: obj._build_layer_components() without return types