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Backpropagation in cnn, how to train a filter on input?
Please tell me, for example, the numbers in the photo, how to determine the delta for the filter.
The delta of the filter in front of a fully connected network is clear, but I don’t know how to calculate those filters after it as a delta.
This network without pooling
Photo look from left to right (filters are calculated, a fully connected neural network)
Then from right to left (error calculation, updating weights)
I don’t know how to train a regular ns, but here is the problem (
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