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- $\begingroup$ This seems entirely correct to me, but it is not clear why the OP has not already understood this stage, since they have (also correctly) stated "the deltas of the convolution layer are calculated as in a normal feedforward network". I suspect as well as this answer, they are also missing the step of accumulating the deltas for each part of the feature output, so that they apply to the same weights each time. $\endgroup$Neil Slater– Neil Slater2017-02-17 08:00:30 +00:00Commented Feb 17, 2017 at 8:00
- $\begingroup$ @avaj can u share link of your implementation? $\endgroup$Bhagyesh Vikani– Bhagyesh Vikani2017-02-17 08:31:16 +00:00Commented Feb 17, 2017 at 8:31
- $\begingroup$ I have a correct implementation right now. If somebody is interested anymore I can share this. $\endgroup$avaj– avaj2017-04-30 17:58:26 +00:00Commented Apr 30, 2017 at 17:58
- $\begingroup$ @avaj could you please share your implementation? $\endgroup$Harsh Wardhan– Harsh Wardhan2018-01-29 12:47:49 +00:00Commented Jan 29, 2018 at 12:47
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