deepy/networks/auto_encoder.py
def decode(self, x):
        """
        Decode given representation.
        """
        if not self.rep_dim:
            raise Exception("rep_dim must be set to decode.")
        if not self.decoding_network:
            self.decoding_network = NeuralNetwork(self.rep_dim)
            for layer in self.decoding_layers:
                self.decoding_network.stack_layer(layer, no_setup=True)
        return self.decoding_network.compute(x)
def decode(self, x):
        if not self.rep_dim:
            raise Exception("rep_dim must be set to decode.")
        if not self.decoding_network:
            self.decoding_network = NeuralNetwork(self.rep_dim)
            for layer in self.decoding_layers:
                self.decoding_network.stack_layer(layer, no_setup=True)
        return self.decoding_network.compute(x)
def decode ( self , x ) : if not self . rep_dim : raise Exception ( "rep_dim must be set to decode." ) if not self . decoding_network : self . decoding_network = NeuralNetwork ( self . rep_dim ) for layer in self . decoding_layers : self . decoding_network . stack_layer ( layer , no_setup = True ) return self . decoding_network . compute ( x )
Decode given representation.
Decode given representation .