parameters: (self, v)
return_statement: return tf.nn.sigmoid(tf.matmul(v, self.W) + self.hbias)
docstring: Compute the sigmoid activation for hidden units given visible units
docstring_summary: Compute the sigmoid activation for hidden units given visible units
docstring_tokens: Compute the sigmoid activation for hidden units given visible units
function: def propup(self, v):
          """Compute the sigmoid activation for hidden units given visible units"""
          return tf.nn.sigmoid(tf.matmul(v, self.W) + self.hbias)
function_tokens: def propup ( self , v ) : return tf . nn . sigmoid ( tf . matmul ( v , self . W ) + self . hbias )