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Deployment bug-fix #1036
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Deployment bug-fix #1036
Commits on Jan 27, 2016
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Added AdaGrad and AdaDelta solvers. First implementation of solver in…
…terface for simplenn. (Missing: DAG, unit tests.)
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Merge branch 'master' into new-solvers
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Added nnsolvers unit test, to check the convergence of new solvers.
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Added solver interface to cnn_train_dag.
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Improved nnsolvers unit test, added DAG tests.
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Merge branch 'master' into new-solvers
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Commits on Jan 28, 2016
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Added RMSProp. Tweaked the epsilon position in AdaGrad (literature va…
…ries). RMSProp is unpublished, this implementation is based on Karpathy's lecture notes: http://cs231n.github.io/neural-networks-3/
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Commits on May 6, 2016
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Merge branch 'master' into new-solvers
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documentation, backwards-compatible momentum option
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Commits on May 8, 2016
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different default hyper-params for each solver, same as in torch. imp…
…roved documentation on learning rates.
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Commits on May 11, 2016
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renamed momentum and state to solverState in cnn_train/dag; fixed uni…
…t tests; minor documentation tweaks
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Commits on May 12, 2016
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add a moving average option to AdaGrad, which avoids the monotonic de…
…crease of update magnitudes to 0
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AdaGrad: running sum with decay instead of moving average (which does…
…n't quite work)
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Commits on May 13, 2016
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fix options for custom solvers
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Commits on Jul 13, 2016
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Merge branch 'devel' into new-solvers
Conflicts: examples/cnn_train.m examples/cnn_train_dag.m
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Commits on Sep 17, 2016
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Merge branch 'master' of bitbucket.org:ovl/matconvnet
Hakan Bilen committedSep 17, 2016 Configuration menu - View commit details
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Commits on Sep 25, 2016
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Makefile: bug fix: make sure that specified CUDA libraries are linked…
… instead of the MATLAB default ones
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Commits on Sep 26, 2016
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Merge branch 'master' of bitbucket.org:ovl/matconvnet
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Commits on Sep 27, 2016
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Hakan Bilen committed
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Commits on Sep 29, 2016
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Hakan Bilen committed
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Merge branch 'master' of bitbucket.org:ovl/matconvnet
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Commits on Sep 30, 2016
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Commits on Oct 3, 2016
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Commits on Oct 4, 2016
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Commits on Oct 5, 2016
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Vita Bel committed
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Commits on Oct 6, 2016
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Commits on Oct 24, 2016
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added opts.postEpochFn=@myfunc option to cnn_train, which may be used…
… for custom debug plots or to dynamically change learning rates
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Commits on Nov 8, 2016
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fix vl_nnloss doc ('logisticlog' -> 'logistic')
Joao Henriques committedNov 8, 2016 Configuration menu - View commit details
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Commits on Nov 11, 2016
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Bug with windows compilation. Added the backport code to compat.h.
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Commits on Nov 22, 2016
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Fixes vlfeat#694, libjpeg not aborted once a libjpeg error found.
Plus added a bit more helpful messages for non-existent images.
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Fixes once more the issue vlfeat#552.
Added a bit more explanations for this decision to prevent future miscommunication.
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Commits on Nov 24, 2016
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Fixed the
vl_imreadjpeg.m
help string.Did not show fully in MATLAB due to additional newline.
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Commits on Nov 30, 2016
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Conflicts: examples/cnn_train.m examples/cnn_train_dag.m
Joao Henriques committedNov 30, 2016 Configuration menu - View commit details
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fix some errors introduced when merging
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fix subtle bug in Nesterov momentum (by using standard instead of in-…
…place accumulation)
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further improvements to solvers
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fix plotDiagnostics for solvers with non-numeric state
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same random seed for consistent unit tests
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Seems to work for training the Variational autoencoder. Yet to add unit tests etc.
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Commits on Dec 1, 2016
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Commits on Dec 2, 2016
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Joao Henriques committed
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Merged in new-solvers (pull request vlfeat#21)
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Commits on Dec 9, 2016
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You need to review this changes and run this example. The previous version was giving errors.
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Changed the transpose so that it doesn't give any error. It displays both top1err and top5err for both BSLN and BNORM
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Commits on Dec 18, 2016
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Hakan Bilen committed
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Merge branch 'master' of bitbucket.org:ovl/matconvnet
Hakan Bilen committedDec 18, 2016 Configuration menu - View commit details
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Commits on Dec 19, 2016
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Merge pull request vlfeat#805 from oya163/patch-1
Updates the `cnn_mnis_experiment` launch script fixing the names of the error fields in the `cnn_train` output.
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Commits on Jan 18, 2017
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Added a fix for the new version vl_imreadjpeg.
Adds a `cropSize` element from the border value, used in previous versions.
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Small improvements of cnn_train:
* added epochSize option (number of samples per epoch, allows to adjust the epoch size without reducing training set size) * Stats are not saved in the eval mode * Added title to the diagnostics.
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Merged in caffe-dilate-fix (pull request vlfeat#26)
added dilation to caffe Conv import (fixes vlfeat#816)
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Commits on Jan 20, 2017
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fixed mnist bnorm initialization, where the previous conv layer's bia…
…ses were not removed properly
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Commits on Feb 8, 2017
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Merge branch 'master' of bitbucket.org:ovl/matconvnet
Hakan Bilen committedFeb 8, 2017 Configuration menu - View commit details
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Commits on Feb 9, 2017
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Fix bug in support for empty train/val sets
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Commits on Feb 13, 2017
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fix bug that caused setting a solver to be ignored
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fix random seed in mnist unit tests, for more reproducible tests
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Commits on Feb 15, 2017
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Merged in smallTypos (pull request vlfeat#23)
minor typo fixes to vl_imreadjpeg docs Approved-by: Karel Lenc Approved-by: Joao Henriques
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Commits on Feb 22, 2017
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Commits on Mar 13, 2017
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fixed small issue ignoring doubles on MNIST unit test
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Merged in loss-improvements (pull request vlfeat#30)
Loss improvements Approved-by: Joao Henriques <[email protected]>
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Commits on Mar 22, 2017
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Fixed interface quirk of vl_nnloss and vl_nnrelu (different from othe…
…r vl_nn* functions) An empty derivative input was required in forward mode when passing additional parameters (e.g. vl_nnrelu(x, [], 'leak', 0.1), while in other functions the derivative is omitted.
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Fixed bug in vl_taccum when argument b is a scalar
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Allow redirecting vl_testnn to different test suite dirs
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Commits on Mar 23, 2017
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Removed unnecessary try/catch.
At the end, the original purpose of having a network all the time in a valid state does almost never works as the network fails on rebuild. The rethrow makes it harder to debug issues.
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Loss.m: number of samples for spatial maps now handled correctly (instead of crashing). vl_nnpdist.m: Handles correctly aggregate for 4D tensors.
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Fix of the numerical derivatives for the vl_nnpdist.
With aggregate -> single scalar, numerically the algorithm is even worse. Decreased the size of the input tensor.
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Merged in toy-data-example (pull request vlfeat#28)
Minimal training/custom IMDB example with toy data, and tensor visualization function * added cnn_toy_data example, and vl_tshow to visualize tensors * fix vl_tshow for ndims < 4 * decouple toy image generation from IMDB creation, more realistic use-case * vl_tshow: allow setting parent axes and other properties * vl_tshow: replace hacky montage+padding with imagesc+grid, better scaling * moved files to examples/custom_imdb/
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Merged in vl_argparse-improvements (pull request vlfeat#31)
Improvements to vl_argparse: 'field.subfield' syntax, ignore missing defaults (all optional) Approved-by: Samuel <[email protected]> Approved-by: Andrea Vedaldi <[email protected]>
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Merged in docFix (pull request vlfeat#25)
fixes dropout explanation updates vl_nndropout doc string to define rate as the probability that a variable is dropped. Approved-by: Andrea Vedaldi <[email protected]>
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Commits on Mar 24, 2017
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Commented out unused bool variable which causes "Unused" warnings.
Originally used only in debug mode. The bilinearsampler_gpu needs cleanup.
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Commits on Aug 15, 2017
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