Convolutional neural network: Difference between revisions

Convolutional neural network (view source)

189 bytes added , 14 June 2020

5,321

edits

@@ Line 92: / Line 92: @@
 ==Other Types of Convolutions==
 ===Transpose Convolution===
-See [https://medium.com/apache-mxnet/transposed-convolutions-explained-with-ms-excel-52d13030c7e8 Medium Post]<br>
+See [https://medium.com/apache-mxnet/transposed-convolutions-explained-with-ms-excel-52d13030c7e8 Medium: Transposed convolutions explained].
-Instead of your 3x3 kernel taking 9 values as input and returning 1 value (</math>\sum_i \sum_j w_{ij} * i_{i+x,j+y}</math>), the kernel now takes 1 value and returns 9 (</math>w_{ij} * i_{x,y}</math>).
+Instead of your 3x3 kernel taking 9 values as input and returning 1 value (<math>\sum_i \sum_j w_{ij} * i_{i+x,j+y}</math>), the kernel now takes 1 value and returns 9 (<math>w_{ij} * i_{x,y}</math>).
+This is sometimes misleadingly referred to as deconvolution.
+Oftentimes, papers apply a 2x bilinear upsampling rather than using transpose convolution layers.
 ===Gated Convolution===