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Commits on May 30, 2015

• Merge pull request BVLC#2350 from drdan14/log-parser-python-improved

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• Merge pull request BVLC#2522 from MartinThoma/moose

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• Merge pull request BVLC#2498 from flx42/cpp_classification_example

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• Merge pull request BVLC#2528 from shelhamer/travis-lmdb-git

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• Merge pull request BVLC#2527 from ronghanghu/matcaffe-update-mean-format

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• [travis] install lmdb through git mirror

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• Update ilsvrc_2012_mean.mat to W x H x C, update demo and add comments

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• Merge pull request BVLC#2511 from flx42/fix_illegal_mode_changes

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• Merge pull request BVLC#1977 from shelhamer/accum-grad

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• Add a simple C++ classification example

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• Merge pull request BVLC#2410 from sguada/datum_transform

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• Merge pull request BVLC#2294 from TorosFanny/master

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• [example] fix path for diff in net surgery

  

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• Merge pull request BVLC#2240 from nsubtil/cmake-build-dependencies

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• Merge pull request BVLC#2468 from Nerei/feature/minor_fix_in_cmake_config_generation

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• Merge pull request BVLC#2493 from longjon/sketchy-cuda-kernel-loop

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• Merge pull request BVLC#2514 from norouzi/master

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Commits on May 29, 2015

• Merge pull request BVLC#2505 from ronghanghu/matcaffe3

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• More tests for Blob, Layer, copy_from and step, fix some typos

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• Fix automatic header file dependency for MatCaffe

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• Move demo to demo/ and check weights file existence

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• Clean up old matcaffe wrapper and rename caffe.reset to caffe.reset_all

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• Add MatCaffe docs to docs/tutorial/interfaces.md

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• Aesthetic changes on code style and some minor fix

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• Fix matlab tailing dimension 1 issue for shape match

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• MatCaffe3 : a powerful matlab interface for caffe

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Commits on May 28, 2015

• directly normalize accumulated gradients

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• test equivalence of solving with accumulating gradients

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Commits on May 27, 2015

• python/draw_net.py and python/caffe/draw.py: Simplified code; added more docstrings; adjusted code according to PEP8

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• adjust local learning rate and decay according to gradient accumulation

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• accumulate gradients in cudnn conv layer

  

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• accumulate gradients in (de)conv layers

  

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• accumulate gradients in inner product layer

  

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• zero-init param diffs in gradient checker

  

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• zero-init param diffs and accumulate gradients

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