Age | Commit message (Collapse) | Author |
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BLAS behavior based bugs
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fix a typo
problem of returning a number instead of a tensor
progressing
bias added
forward done
cannot pass gradient check yet
pass all checks
add tests in test.lua
Update convolution.md
add document
format the code
use floor to compute output width instead of ceil
modify checkInput and checkOutput
make unfolded_copy and unfolded_acc into separate files
add test against nn.SpatialConvolution
progressing on SpatialConvolutionLocal.c
fix a typo
problem of returning a number instead of a tensor
progressing
bias added
forward done
cannot pass gradient check yet
pass all checks
add tests in test.lua
Update convolution.md
add document
format the code
use floor to compute output width instead of ceil
modify checkInput and checkOutput
make unfolded_copy and unfolded_acc into separate files
add test against nn.SpatialConvolution
fix missing parenthesis
add locally-connected layers
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* Fix initialization of diagHessianBias for nn.SpatialConvolution.
* Fix computing diagHessianBias for nn.SpatialFullConvolution.
* Call module:forward() with the proper input before calling
accGradParameters(). Without that, accDiagHessianParameters()
produces incorrect results for some convolution classes.
* Move duplicate code from Module.getParameters() to Module.flatten(),
which is now used by both the original Module.getParameters() in
Module.lua and the replacement Module.getParameters() in hessian.lua.
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Torch7 defines table.unpack to unpack if it is not defined.
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extra/nn/L1Cost.lua : L1 penalty
extra/nn/SpatialFullConvolution.lua : full convolution
extra/nn/SpatialFullConvolutionMap.lua : full convolution with connection table
extra/nn/TanhShrink.lua : shrinkage with x-tanh(x)
extra/nn/WeightedMSECriterion.lua : mean squared error with weighting mask on the target
Add new nn classes that are used commonly for unsupervised training of convolutional auto encoders
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Module:getParameters().
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This might finally fix all the possible corners.
Fix by Michael Matthieu.
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