theanets/graph.py
def loss(self, **kwargs):
        '''Return a variable representing the regularized loss for this network.

        The regularized loss includes both the :ref:`loss computation <losses>`
        for the network as well as any :ref:`regularizers <regularizers>` that
        are in place.

        Keyword arguments are passed directly to
        :func:`theanets.regularizers.from_kwargs`.

        Returns
        -------
        loss : Theano expression
            A Theano expression representing the loss of this network.
        '''
        regs = regularizers.from_kwargs(self, **kwargs)
        outputs, _ = self.build_graph(regs)
        return sum(l.weight * l(outputs) for l in self.losses) + \
            sum(r.weight * r.loss(self.layers, outputs) for r in regs)
def loss(self, **kwargs):
        '''Return a variable representing the regularized loss for this network.

        The regularized loss includes both the :ref:`loss computation <losses>`
        for the network as well as any :ref:`regularizers <regularizers>` that
        are in place.

        Keyword arguments are passed directly to
        :func:`theanets.regularizers.from_kwargs`.

        Returns
        -------
        loss : Theano expression
            A Theano expression representing the loss of this network.
        '''
        regs = regularizers.from_kwargs(self, **kwargs)
        outputs, _ = self.build_graph(regs)
        return sum(l.weight * l(outputs) for l in self.losses) + \
            sum(r.weight * r.loss(self.layers, outputs) for r in regs)
Return a variable representing the regularized loss for this network.

        The regularized loss includes both the :ref:`loss computation <losses>`
        for the network as well as any :ref:`regularizers <regularizers>` that
        are in place.

        Keyword arguments are passed directly to
        :func:`theanets.regularizers.from_kwargs`.

        Returns
        -------
        loss : Theano expression
            A Theano expression representing the loss of this network.