[GitHub] kmonachopoulos commented on issue #1412: I dont quite understand how Upsampling works.

[gi...@git.apache.org]

kmonachopoulos commented on issue #1412: I dont quite understand how Upsampling works.
URL: https://github.com/apache/incubator-mxnet/issues/1412#issuecomment-325703119
 
 
   Each upsample layer consists of (1) Upsample (bilinear, zero padding, nearest- neighbor) and (2) convolution with a transposed filter. That is why you need the convolution operation in these layers. Convolution always reduce the input matrix to the output, to go to a bigger output, you have to upsample the input first and potentially do zero - padding to the output later on in order to fix the dimensions. Also, the filters are called learned filters, because the un-transposed version (filter) that we used to calculate the transposed filter learned the features during training.
 
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