Remove unused import.
Add a few default properties for feedforward networks; these will be used by recurrent nets, I think.
Use new .updates and .structure parameters during training. Add a stub CG trainer.
Add explicit declaration of layers parameter in MNIST examples.
Do not use recently-added updates property during training.
Move some feedforward network arguments to kwargs to enable unification with recurrent classes.
Add a damping argument for recurrent networks. Change lmj_name attribute of activation functions.
Update recurrent network code -- still needs more work.