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conv_arithmetic.tex

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@@ -853,15 +853,15 @@ \section{Transposed convolution}
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some\/} convolution with respect to its input, which is usually how
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transposed convolutions are implemented in practice.}
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Finally note that it is always possible to obtain the same result of a
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transposed convolution with a direct convolution. The disadvantage is that it
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usually involves adding many columns and rows of zeros to the input, resulting
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in a much less efficient implementation.
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Finally note that it is always possible to emulate a transposed convolution with
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a direct convolution. The disadvantage is that it usually involves adding many
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columns and rows of zeros to the input, resulting in a much less efficient
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implementation.
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Building on what has been introduced so far, this chapter will proceed somewhat
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backwards with respect to the convolution arithmetic chapter, deriving the
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properties of each transposed convolution by referring to the direct
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convolution with which shares the kernel, and defining the equivalent direct
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convolution with which it shares the kernel, and defining the equivalent direct
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convolution.
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\section{No zero padding, unit strides, transposed}

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