class_docstr: Dense fully-connected layer (specification key: `dense`).
  
  Args:
      size (int >= 0): Layer output size, 0 implies additionally removing the axis
          (<span style="color:#C00000"><b>required</b></span>).
      bias (bool): Whether to add a trainable bias variable
          (<span style="color:#00C000"><b>default</b></span>: true).
      activation ('crelu' | 'elu' | 'leaky-relu' | 'none' | 'relu' | 'selu' | 'sigmoid' |
          'softmax' | 'softplus' | 'softsign' | 'swish' | 'tanh'): Activation nonlinearity
          (<span style="color:#00C000"><b>default</b></span>: tanh).
      dropout (parameter, 0.0 <= float < 1.0): Dropout rate
          (<span style="color:#00C000"><b>default</b></span>: 0.0).
      initialization_scale (float > 0.0): Initialization scale
          (<span style="color:#00C000"><b>default</b></span>: 1.0).
      vars_trainable (bool): Whether layer variables are trainable
          (<span style="color:#00C000"><b>default</b></span>: true).
      l2_regularization (float >= 0.0): Scalar controlling L2 regularization
          (<span style="color:#00C000"><b>default</b></span>: inherit value of parent module).
      name (string): Layer name
          (<span style="color:#00C000"><b>default</b></span>: internally chosen).
      input_spec (specification): <span style="color:#00C000"><b>internal use</b></span>.
code: def output_spec(self):
      output_spec = super().output_spec()
  
      if self.squeeze:
          output_spec.shape = output_spec.shape[:-1]
      else:
          output_spec.shape = output_spec.shape[:-1] + (self.size,)
  
      output_spec.min_value = None
      output_spec.max_value = None
  
      return output_spec
  
file_path: tensorforce/tensorforce/core/layers/dense.py
imports: import tensorflow
  from tensorforce.core import TensorSpec, tf_function
  from tensorforce.core.layers import TransformationBase
label_desc: Use image node_id 3 for calling the Dense obj's underlying member method code with example usage: obj.output_spec() and returns: output_spec