class_docstr: Basic full-connected layer.
code: def __init__(
      self,
      dim,
      activation=None,
      use_bias=True,
      kernel_initializer=lambda: tf.uniform_unit_scaling_initializer(
          factor=0.36
      ),
      bias_initializer=lambda: tf.constant_initializer(value=0.0002),
      **kwargs,
  ):
      super(Dense, self).__init__(**kwargs)
      self.dim = dim
      self.activation = activation
      self.use_bias = use_bias
      self.kernel_initializer = kernel_initializer
      self.bias_initializer = bias_initializer
  
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 1 to create a new Dense object from inherited base classes: Layer with example: obj = Dense(dim, activation, use_bias, kernel_initializer, bias_initializer)