From cb3a0e70453639a88fd3e6f2f195903e483ba57a Mon Sep 17 00:00:00 2001 From: Simon Niklaus Date: Sat, 18 Feb 2017 11:39:06 -0800 Subject: [PATCH] fixed capitalization / link --- doc/convolution.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/convolution.md b/doc/convolution.md index ebc29795b..761cef4e8 100644 --- a/doc/convolution.md +++ b/doc/convolution.md @@ -32,8 +32,8 @@ A convolution is an integral that expresses the amount of overlap of one functio * [SpatialCrossMapLRN](#nn.SpatialCrossMapLRN) : a spatial local response normalization between feature maps ; * [SpatialBatchNormalization](#nn.SpatialBatchNormalization): mean/std normalization over the mini-batch inputs and pixels, with an optional affine transform that follows a kernel for computing the weighted average in a neighborhood ; - * [SpatialUpsamplingNearest](#nn.SpatialUpSamplingNearest): A simple nearest neighbor upsampler applied to every channel of the feature map. - * [SpatialUpsamplingBilinear](#nn.SpatialUpSamplingNearest): A simple bilinear upsampler applied to every channel of the feature map. + * [SpatialUpSamplingNearest](#nn.SpatialUpSamplingNearest): A simple nearest neighbor upsampler applied to every channel of the feature map. + * [SpatialUpSamplingBilinear](#nn.SpatialUpSamplingBilinear): A simple bilinear upsampler applied to every channel of the feature map. * [Volumetric Modules](#nn.VolumetricModules) apply to inputs with three-dimensional relationships (e.g. videos) : * [VolumetricConvolution](#nn.VolumetricConvolution) : a 3D convolution over an input video (a sequence of images) ; * [VolumetricFullConvolution](#nn.VolumetricFullConvolution) : a 3D full convolution over an input video (a sequence of images) ;