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Commits on Oct 20, 2014

• [docs] re-title docs, count forks

  shelhamer

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• [docs] BVLC Caffe acknowledgements

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• [docs] cite the arXiv paper

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Commits on Oct 16, 2014

• Edit boost-python formula

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Commits on Oct 15, 2014

• [docs] proofreading suggested by @cNikolaou

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Commits on Oct 11, 2014

• [docs] pip install harder

  shelhamer

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• [docs] pip install packages in order for dependencies

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Commits on Oct 10, 2014

• [docs] note boost 1.56 an CUDA conflict on OS X

  shelhamer

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• [docs] update homebrew instructions for boost and boost-python split

  shelhamer

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Commits on Sep 19, 2014

• Fix typo in LRN-expression in docs

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• [docs] order ipython notebooks

  shelhamer

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Commits on Sep 18, 2014

• [model zoo] download gist script

  

  sergeyk

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  shelhamer

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Commits on Sep 8, 2014

• Back-merge to dev for slides

  shelhamer

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• [docs] replace intro slides with caffe tutorial

  shelhamer

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Commits on Sep 7, 2014

• [docs] include cuDNN in installation and performance reference

  shelhamer

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• [docs] tutorial/layers: fix inner product sample

  longjon

  committed
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• [docs] tutorial/layers: describe some more data layers

  longjon

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• [docs] tutorial/layers: clean up sample markdown

  longjon

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• [docs] tutorial/layers: brief descriptions of some loss layers

  longjon

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• [docs] in tutorial/layers, Options -> Parameters

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  longjon

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• [docs] split layer params in required/optional

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  longjon

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• [docs] add LRN layer to tutorial/layers

  longjon

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• [docs] fix pooling markdown and add some comments in tutorial

  longjon

  committed
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• [doc] minor edits to convolution layer in tutorial

  longjon

  committed
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• [docs] fixup the MathJax notation in tutorial/layers

  longjon

  committed
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Commits on Sep 6, 2014

• Added initial Hinge Loss

  sguada

  committed
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• more layers

  Yangqing

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• conv and pooling

  Yangqing

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Commits on Sep 5, 2014

• neuron layers doc

  Yangqing

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• update net

  Yangqing

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• fix leaky relu

  Yangqing

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• more blob details

  Yangqing

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• relu,sigmoid,tanh

  Yangqing

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• [docs] fix br code

  shelhamer

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• [docs] link tutorial

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