Remove reference to inception module
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@ -1447,9 +1447,7 @@ by one convolutions to the outputs of the previous layer before
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passing the result to the three by three and five by five
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convolutions. The one by one convolutions have the effect that the
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channels of the inputs (feature maps) are reduced and are thus easier
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to process by the subsequent larger filters. Figure \todo{insert
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figure of inception module with dimension reduction} shows the
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structure proposed by the authors which they call an Inception module.
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to process by the subsequent larger filters.
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GoogLeNet consists of nine Inception modules stacked one after the
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other and a \emph{stem} with convolutions at the beginning as well as
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