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Add & test regularizer class hierarchy: L1, L2 & skeleton of MaxNorm #113
Commits on Mar 19, 2014
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Add and test Net::HasBlob and GetBlob to simplify feature extraction
Inspired by @kencoken's commit f36e715 kencoken@f36e715 Related issues:
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Change feature binarization threshold to be the mean of all the values
rather than zero in the feature binarization example
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change specification of forward/backward function and fix layer
definitions appropriately
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gradient checker optimization with forward pass loss: only need to run
backward pass to compute analytic gradient (the thing being checked) now
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loss in forward pass for concat layer (thought i'd rebased to latest dev
but apparently not)
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Commits on Mar 20, 2014
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Merge pull request #161 from kloudkl/simplify_feature_extraction
Feature extraction, feature binarization and image retrieval examples
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- signficantly change the documentation file - link to it from index.md - remove the image resizing script, since (a) it does not work, (b) is obviated by using ImagesLayer - add sample prototxt that uses ImagesLayer.
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Back-merge documentation and script fixes
fix script path incantation convert css indentation to spaces fix cifar10 leveldb creation path wget without checking certificate for dropbox (dodge complaint on linux) docs: added list of contributors minor style update of docs
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Commits on Mar 21, 2014
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Merge pull request #209 from jeffdonahue/loss-in-forward-pass
Compute loss in the forward pass
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Merge pull request #247 from jeffdonahue/loss-in-forward-window-data-…
…layer Loss in forward pass fix for window data layer
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compile caffe without MKL (dependency replaced by boost::random, Eigen3)
- examples, test and pycaffe compile without problem (matcaffe not tested) - tests show some errors (on cpu gradient tests), to be investigated - random generators need to be double checked - mkl commented code needs to be removed
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Fix math funcs, add tests, change Eigen Map to unaligned for lrn_layer
[shelhamer: removed math function tests, since they were merged via other branches]
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use boost variate_generator to pass tests w/ boost 1.46 (Gaussian filler
previously filled in all NaNs for me, making many tests fail)
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rewrite MKL flag note, polish makefile
add MKL dirs conditioned on USE_MKL include libraries before making LD_FLAGS
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Fixed order of cblas and atlas linker flags
They were the wrong way round, causing linking to fail in some cases
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Added extern C wrapper to cblas.h include
This ensures that it works with ATLAS's header file, which doesn't include such a guard itself (whereas the reference version from Ubuntu's libblas-dev does)
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clean up residual mkl comments and code
The FIXMEs about RNG were addressed by caffe_nextafter for uniform distributions and the normal distribution concern is surely a typo in the boost documentation, since the normal pdf is correctly stated elsewhere in the documentation.
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Commits on Mar 22, 2014
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Hide boost rng behind facade for osx compatibility
Split boost random number generation from the common Caffe singleton and add a helper function for rng. This resolves a build conflict in OSX between boost rng and nvcc compilation of cuda code. Refer to #165 for a full discussion. Thanks to @satol for suggesting a random number generation facade rather than a total split of cpp and cu code, which is far more involved.
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Set copyright to BVLC and contributors.
The exact details of the contributions are recorded by versioning.
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Commits on Mar 23, 2014
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Merge pull request #165 from BVLC/boost-eigen
MKL/non-MKL Reconciliation Caffe no longer requires MKL. By default it builds without it, relying on atlas and cblas instead. Set the `USE_MKL` var in your Makefile.config accordingly.
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Commits on Mar 24, 2014
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Merge pull request #252 from kloudkl/hdf5_output_layer
Hdf5 output layer
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Merge pull request #201 from kloudkl/more_math_functions
Add more convenience math functions and all tests pass
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Commits on Mar 25, 2014
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