deepy/networks/network.py
def stack_layer(self, layer, no_setup=False):
        """
        Stack a neural layer.
        :type layer: NeuralLayer
        :param no_setup: whether the layer is already initialized
        """
        if layer.name:
            layer.name += "%d" % (len(self.layers) + 1)
        if not self.layers:
            layer.init(self.input_dim, no_prepare=no_setup)
        else:
            layer.init(self.layers[-1].output_dim, no_prepare=no_setup)
        self._output = layer.compute_tensor(self._output)
        self._test_output = layer.compute_tensor(self._test_output)
        self._hidden_outputs.append(self._output)
        self.register_layer(layer)
        self.layers.append(layer)
def stack_layer(self, layer, no_setup=False):
        """
        Stack a neural layer.
        :type layer: NeuralLayer
        :param no_setup: whether the layer is already initialized
        """
        if layer.name:
            layer.name += "%d" % (len(self.layers) + 1)
        if not self.layers:
            layer.init(self.input_dim, no_prepare=no_setup)
        else:
            layer.init(self.layers[-1].output_dim, no_prepare=no_setup)
        self._output = layer.compute_tensor(self._output)
        self._test_output = layer.compute_tensor(self._test_output)
        self._hidden_outputs.append(self._output)
        self.register_layer(layer)
        self.layers.append(layer)
def stack_layer ( self , layer , no_setup = False ) : if layer . name : layer . name += "%d" % ( len ( self . layers ) + 1 ) if not self . layers : layer . init ( self . input_dim , no_prepare = no_setup ) else : layer . init ( self . layers [ - 1 ] . output_dim , no_prepare = no_setup ) self . _output = layer . compute_tensor ( self . _output ) self . _test_output = layer . compute_tensor ( self . _test_output ) self . _hidden_outputs . append ( self . _output ) self . register_layer ( layer ) self . layers . append ( layer )
Stack a neural layer.
        :type layer: NeuralLayer
        :param no_setup: whether the layer is already initialized
Stack a neural layer . : type layer : NeuralLayer : param no_setup : whether the layer is already initialized