Thanks! No, there is no manual learning rate or enforced convergence that I have control over. All algorithms are exactly the same no matter the size and complexity of the network. I have seen a few impressive results with networks that were significantly larger than the default setting, but I haven't found a clear guideline to consistently achieve that.