code: def __init__(self, filters: int, name: str = None):
      super(Stem, self).__init__(name=name)
      self.conv_stem = layers.Conv2D(
          filters=filters,
          kernel_size=3,
          strides=2,
          kernel_initializer=CONV_KERNEL_INITIALIZER,
          padding="same",
          use_bias=False,
          name="conv2d",
      )
      self.norm = layers.BatchNormalization(
          axis=-1,
          momentum=0.9,
          epsilon=1e-3,
          name="batch_normalization",
      )
      self.act = layers.Activation("swish")
  
imports: import itertools
  import tensorflow
  from tensorflow.keras import layers, Model, Input
label_desc: Use image node_id 1 to create a new Stem object from inherited base classes: layers with example: obj = Stem(filters, name)