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predict computation requirements for a neural network?

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hi all, i'm quite new to NN, specifically deep convolutional networks. I was wondering if anybody could shed some insight on how I can get a rough estimate as to how much processing power I would require for a given neural network size. I realize it would depend on the NN architecture.

Take for example a deep convolution network with an input layer of 500x500 and 3-4 subsequent convolution and subsampling layers. How do I measure how long it would take to run an epoch?

submitted by lexbee
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