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path: root/include/caffe/vision_layers.hpp
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2015-05-14Merge pull request #2177 from pgao/spp_layerJeff Donahue1-0/+66
2015-05-14Spatial Pyramid Pooling LayerPETER_GAO1-0/+66
2015-03-24switch to cuDNN R2Simon Layton1-3/+5
2015-02-09Fixes for CuDNN layers: only destroy handles if setupJeff Donahue1-2/+4
2015-02-05Layer type is a stringJeff Donahue1-15/+7
2015-01-27document DeconvolutionLayerJonathan L Long1-0/+18
2015-01-11add DeconvolutionLayer, using BaseConvolutionLayerJonathan L Long1-0/+20
2015-01-11rewrite ConvolutionLayer to use BaseConvolutionLayer helpersJonathan L Long1-32/+4
2015-01-11add CPU_ONLY ifdef guards to BaseConvolutionLayerJonathan L Long1-0/+4
2015-01-11add BaseConvolutionLayerJonathan L Long1-0/+87
2014-10-03Added global_pooling to set the kernel size equal to the bottom sizeSergio1-0/+1
2014-09-29use method overrides for CuDNNPoolingLayer top blob checkingJonathan L Long1-0/+3
2014-09-22adds a parameter to the LRN layer (denoted as "k" in [Krizhevsky et al., NIP...Karen Simonyan1-0/+1
2014-09-19optimize 1x1 convolution for Network-in-Network style layersEvan Shelhamer1-0/+1
2014-09-19fix types of (Layer)SetUp, Reshape, Forward, and Backward callsJonathan L Long1-38/+38
2014-09-18split off Reshape for vision layersJonathan L Long1-0/+12
2014-09-18[docs] comment ConvolutionLayerEvan Shelhamer1-3/+59
2014-09-08[lint] cuDNN conv declarationEvan Shelhamer1-2/+1
2014-09-07strategize cuDNN poolingEvan Shelhamer1-1/+29
2014-09-07strategize cuDNN convolutionEvan Shelhamer1-0/+30
2014-09-07revert separate strategies: engines will extend the caffe standardsEvan Shelhamer1-55/+11
2014-09-07grooming: drop pointless overrides, stub layer commentsEvan Shelhamer1-35/+10
2014-09-07strategize poolingEvan Shelhamer1-4/+40
2014-09-07strategize Caffe convolutionEvan Shelhamer1-6/+35
2014-09-03vision_layers.hpp: Doxygen \brief & TODO stubs.Jeff Donahue1-9/+23
2014-08-23move {InnerProduct,Eltwise}Layer to common instead of visionEvan Shelhamer1-64/+0
2014-08-13Disallow in-place computation in SPLIT layer -- has strange effects inJeff Donahue1-1/+1
2014-08-13Generalize loss by allowing any top blob to be used as a loss in whichJeff Donahue1-23/+27
2014-08-11added cross-channel MVN, Mean-only normalization, added to layer factory, mov...qipeng1-32/+0
2014-08-11mean-variance normalization layerqipeng1-0/+33
2014-08-06LICENSE governs the whole project so strip file headersEvan Shelhamer1-2/+0
2014-07-29im2col + convolve non-square filters, padding, and strideEvan Shelhamer1-6/+6
2014-07-19use Blob directly instead of shared_ptr for PoolingLayer::max_idx_Jonathan L Long1-1/+1
2014-07-19use Blob directly instead of shared_ptr for InnerProductLayer::bias_multiplier_Jonathan L Long1-1/+1
2014-07-19use Blob directly instead of shared_ptr for ConvolutionLayer::bias_multiplier_Jonathan L Long1-1/+1
2014-07-15Use Blobs instead of SyncedMemorys for the bias_multiplier_'s.Jeff Donahue1-2/+2
2014-07-07Merge pull request #614 from ronghanghu/rectangular_poolingJeff Donahue1-3/+3
2014-07-05add tests for rectangular pooling regionsRonghang Hu1-1/+1
2014-07-03Update vision_layers.hppRonghang Hu1-3/+3
2014-07-03Merge pull request #602 from kloudkl/layers-in-orderJeff Donahue1-162/+3
2014-07-03add EqualNumBottomTopBlobs() property for layers; use inJeff Donahue1-2/+3
2014-07-03Separate layers relatively independent of images out of vision_layersKai Li1-162/+3
2014-06-26change Backward interface: propagate_down is a vector -- use to fixJeff Donahue1-24/+24
2014-06-26file SoftmaxWithLoss in with loss layersEvan Shelhamer1-40/+0
2014-06-25fix SOFTMAX_LOSS to work with loss top blob interfaceEvan Shelhamer1-1/+1
2014-06-08fix ArgMaxLayer bug in num bottom blobs decl. pointed out by @sguadaJeff Donahue1-1/+1
2014-06-08move MemoryDataLayer decl. from vision_layers.hpp to data_layers.hppJeff Donahue1-43/+0
2014-06-08layers declare their names and number of input/output blobs, and don'tJeff Donahue1-1/+82
2014-05-24use a Blob<int> instead of a SyncedMemory to store max_idx_Jeff Donahue1-1/+1
2014-05-24Added max_idx to Pooling layer CPUSergio1-0/+1