class_docstr: Basic full-connected layer.
code: def build(self, input_shape):
      input_shape = tf.TensorShape(input_shape)
      self.kernel = tf.get_variable(
          "kernel",
          shape=[input_shape[-1].value, self.dim],
          initializer=self.kernel_initializer(),
      )
      if self.use_bias:
          self.bias = tf.get_variable(
              "bias",
              shape=[self.dim],
              initializer=self.bias_initializer(),
          )
      else:
          self.bias = None
      self.built = True
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import tensorflow
  from tensorflow.python.util import nest
label_desc: Use image node_id 2 for calling the Dense obj's underlying member method code with example usage: obj.build(input_shape) without return types