Convolution Neural Network configuration -

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how can choose cnn architecture? example, have n classes , images of size m*m, how can determine layer sizes , count should use? there universal formula? in case have 16k classes , images of size 64*64. can me it?

there no techniques determine layer sizes , count should use. it's more of trial , error. there no universal formula. choose layer size , train network. change , train again, till satisfied accuracy.


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