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Hey Guys,
A quick question, I am using the framework to train a tensorflow model but the training is painfully slow so I am looking at ways to speed it up,
If I have any more then 2 solutions per generation and any more then 100 generations then we are talking over a day to train.
I can see that the general GA class has a parellel_processing attribute but this is not in the KerasGA is this something that could be supported ?
Thanks
John
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