parameters: (tparams, state_below, options, prefix='rconv', activ='lambda x: tensor.tanh(x)', **kwargs)
return_statement: return eval(activ)(tensor.dot(state_below, tparams[_p(prefix,'W')])+tparams[_p(prefix,'b')])
docstring: Feedforward pass
docstring_summary: Feedforward pass
docstring_tokens: Feedforward pass
function: def fflayer(tparams, state_below, options, prefix='rconv', activ='lambda x: tensor.tanh(x)', **kwargs):
      """
      Feedforward pass
      """
      return eval(activ)(tensor.dot(state_below, tparams[_p(prefix,'W')])+tparams[_p(prefix,'b')])
function_tokens: def fflayer ( tparams , state_below , options , prefix = 'rconv' , activ = 'lambda x: tensor.tanh(x)' , * * kwargs ) : return eval ( activ ) ( tensor . dot ( state_below , tparams [ _p ( prefix , 'W' ) ] ) + tparams [ _p ( prefix , 'b' ) ] )