class_docstr: Base class inherited by all feed-forward network classes.
  
  Args:
      hparams (dict, optional): Hyperparameters. Missing
          hyperparamerter will be set to default values. See
          :meth:`default_hparams` for the hyperparameter sturcture and
          default values.
  
  See :meth:`_build` for the inputs and outputs.
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code: def __init__(self, hparams=None):
      ModuleBase.__init__(self, hparams)
  
      self._layers = []
      self._layer_names = []
      self._layers_by_name = {}
      self._layer_outputs = []
      self._layer_outputs_by_name = {}
  
imports: import tensorflow
  from texar.tf.module_base import ModuleBase
  from texar.tf.utils import TexarError
  from texar.tf.core.layers import get_layer
  from texar.tf.utils.utils import uniquify_str
  from texar.tf.utils.mode import is_train_mode
label_desc: Use image node_id 1 to create a new FeedForwardNetworkBase object from inherited base classes: ModuleBase with example: obj = FeedForwardNetworkBase(hparams)