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< ShikharJ>
zoq: Ah, but I think this wouldn't be applicable to transposed convolution case, as the non-padded input is always passed to the `Backward` convolution rule in the `Forward` routine.
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< ShikharJ>
zoq: I've updated the PR, please take a look whenever free. Also, I'd like to work up on Layer Normalization and completing the PR on Atrous Convolutions.
< ShikharJ>
The task on Layer Normalization was planned for the later, but I'd like to finish it now, so that I can focus on big tasks at once, without worrying about the smaller dependencies.
< ShikharJ>
This would also complete the convolutional toolbox of mlpack (maybe depth-wise separable convolutions would be remaining), but I don't think they're used that often (I could only find a couple of papers).
< ShikharJ>
They're mainly used in the Xception model if I'm not wrong.
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< travis-ci>
ShikharJ/mlpack#128 (master - acce0c0 : Ryan Curtin): The build has errored.
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< zoq>
ShikharJ: Agreed, depth-wise separable convolutions isn't used that much, if you like to shift the work, that's fine with me; will take a look at the PR later today.
< ShikharJ>
zoq: Thanks. I'll push both the PRs over the weekend.
< zoq>
ShikharJ: Sounds good; I think I have already mentioned that working over the weekend isn't required :)
< ShikharJ>
zoq: Yeah, just wanted to get a head start. Already the work on Transposed Convolution layer took a bit longer than I expected it would take. So taking no risks.
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< travis-ci>
ShikharJ/mlpack#129 (Deconv - e708df9 : Shikhar Jaiswal): The build has errored.