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Posted this on https://threads-iiith.quora.com/Neuro-Evolution-with-Flappy-Bird-Genetic-Evolution-on-Neural-Networks:
Thanks for this!! I thought I’d get stuck with Pybrain because I never figured out how to do the same with Keras. I didn’t know that you could disregard the optimizer and cost function even if it is implemented.
Question re the quote below:
“Often you would also be required to define a loss function and an optimizer to train the network via back-propagation (but here we don’t need to perform back-propagation, so we can just ignore this part).”
Why did you still define the sgd and mode.comile()?
Is it because you’re not calling .fit() before the .predict()? Thanks!
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