Merge pull request #1140 from sniklaus/patch-1

fixed capitalization / link

Author: soumith

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) ;