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Alex Rivera
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For my university project I am creating a neural network that can classify the likelihood that a credit card transaction is fraudulent or not. I am training with backpropagation. I am writing this in Java. I would like to apply multithreading, because my computer is a quad-core i7. It bugs me to spend hours training and see most of my cores idle. But how would I apply multithreading to backpropagation? Backprop works by adjusting the errors backwards through the network. One layer must be done before the other can continue. Is there any way that I can modify my program to do multicore backdrop?
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