Hi,
I've been writing my own train function for a variety of reasons and
have recently wanted to do several restarts so that I can see which
gives the best result.
What I can't figure out how to do is to set the weights before each
attempt to train so that they are re-randomized. I had hoped the
network.resetFlags() that conx's Network class's train method used
would do the trick, but it doesn't re-randomize the initial weights.
Any suggestions?
Thanks,
--b
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