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< ayesdie> Hello, if anyone is up here, I need some help is adding test features for Neighbor Search and Interpolation alternatives for CF. Just a small help.
< ayesdie> *need some help in adding
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< travis-ci> mlpack/mlpack#5568 (master - a824f23 : Shikhar Jaiswal): The build has errored.
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< davida> I have a question regarding the correct data layout for input to a Convolution layer. This layer expects inSize, inputWidth and inputHeight. I have a set to 1,080
< davida> 64x64x3 images as the input to the first conv layer.
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< travis-ci> mlpack/mlpack#5569 (master - 971d78b : Shikhar Jaiswal): The build has errored.
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< davida> It seems reasonable that inSize=3, inputWidth=64 and inputHeight=64. However, I have to map this data into a matrix of 'm' examples so I need to flatten the 64x64x3 image
< davida> into a matrix of 12288x1080 (m=1080).
< davida> The question I have is what layout does the Conv layer expect the 64x64x3 data to be in? Should I write 64x64 row by row then another 64x64 for the second channel?
< davida> Or does the Conv layer expect the input maps to be laid out in some other fashion?
< davida> Unfortunately the example provided in the mlpack/models GitHub link only covers a CNN with a single map on the first input so I cannot work out the correct input format for the matrix.
< davida> Any advice would be really welcomed. Thanks.
< zoq> davida: It should be flatten (64 * 64) (64 * 64) (64 * 64), you can use arma::vectorise to do the actual reshaping.
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