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afunc is a reference to the activation function. It should be simple and fast.
    The activation function is processed /after/ minvalue and maxvalue.
dafunc is the derivative of the activation function.
We strongly advise that you memoize your afunc and dafunc if they are at all
    complicated. We will do our best to behave.

=head2 execute

$network->execute( [$input0, $input1, ...] )

Runs the network for as many iterations as necessary to achieve a stable
network, then returns the output. 
We store the current state of the network in two places - once in the object,
for persistence, and once in $neurons, for simplicity. This might be wrong, 
but I couldn't think of a better way.

=head2 get_state

$network->get_state()

Returns three arrayrefs, [$input0, ...], [$neuron0, ...], [$output0, ...],