original_docstring:  fully-connected network as a kernel prior
docstring: fully-connected network as a kernel prior
docstring_tokens: fully - connected network as a kernel prior
code: def fcn(num_input_channels=2, num_output_channels=3, num_hidden=1000):
      ''' fully-connected network as a kernel prior'''
  
      model = nn.Sequential()
      model.add(nn.Linear(num_input_channels, num_hidden, bias=True))
      model.add(nn.ReLU6())
      model.add(nn.Linear(num_hidden, num_output_channels))
      model.add(nn.Softmax())
  
      return model
code_tokens: def fcn ( num_input_channels = 2 , num_output_channels = 3 , num_hidden = 1000 ) : model = nn . Sequential ( ) model . add ( nn . Linear ( num_input_channels , num_hidden , bias = True ) ) model . add ( nn . ReLU6 ( ) ) model . add ( nn . Linear ( num_hidden , num_output_channels ) ) model . add ( nn . Softmax ( ) ) return model
short_docstring: fully-connected network as a kernel prior
short_docstring_tokens: fully - connected network as a kernel prior
comment: ''' fully-connected network as a kernel prior'''