1. 06 12月, 2016 1 次提交
  2. 05 12月, 2016 1 次提交
  3. 01 12月, 2016 1 次提交
  4. 30 11月, 2016 1 次提交
  5. 29 11月, 2016 1 次提交
  6. 28 11月, 2016 1 次提交
  7. 23 11月, 2016 1 次提交
  8. 18 11月, 2016 2 次提交
  9. 17 11月, 2016 1 次提交
  10. 15 11月, 2016 1 次提交
    • X
      Add ScalingProjection · bf6f690f
      xuwei06 提交于
      out = w * input
      where w is a parameter of size 1
      
      Change-Id: Ife682d62323ceb1a20cbbf6269421b20a862d888
      bf6f690f
  11. 13 11月, 2016 1 次提交
  12. 12 11月, 2016 1 次提交
  13. 11 11月, 2016 1 次提交
    • X
      '*' operator overload for LayerOutput · 36fa2517
      xuwei06 提交于
      Making '*' support the multiplication between a scalar and LayerOutput
      
      Also changing '+' to support adding between a vector and a scalar.
      
      Change-Id: I7daf35590dc2b2f855a29d9ef43ac57979442e0f
      36fa2517
  14. 10 11月, 2016 11 次提交
  15. 08 11月, 2016 2 次提交
    • Q
      add python wrap for sppLayer · 5ece5c96
      qijun 提交于
      5ece5c96
    • X
      Add SumCost · ebad8e52
      xuwei06 提交于
      This allows user to implement any type of cost by summing over the output of non-cost layers.
      
      Change-Id: Ic55aaabbf0c1299e70b8e48a0effcc91f8f5bd29
      ebad8e52
  16. 07 11月, 2016 2 次提交
  17. 05 11月, 2016 1 次提交
    • E
      Add elementwise math operations (#343) · 6c3a678c
      emailweixu 提交于
      * Add elementwise math operations
      This allows use to use expressions like: y=log(1+exp(x))
      Also added unittests for ActivationFunction
      * Enforce keyword arguments for non-positional arguments
      * Add LogActivation to doc
      6c3a678c
  18. 02 11月, 2016 1 次提交
    • Q
      Add job=time in trainer, refine cudnn_conv to reduce gpu memory and speed up training. (#218) · 45c81a41
      qingqing01 提交于
      * Add benchmark for PaddlePaddle, tensorflow and caffe
      
      * ConvProjection to reduce memory for goolenet
      
      * Add unit test for ConvProjection.
      1. unit test in test_LayerGrad.
      2. compare the ConvPorjection and CudnnConvLayer, also compare the concat_layer+img_conv_layer and concat_layer_conv_projection.
      
      * Reduce cudnn_conv memory and add benchmark document.
      1. Use TmpMatrix as the workspace in cudnn_conv to reduce gpu memory. It reduce lots of memory.
      2. Add benchmark document.
      3. fix smallnet_mnist_cifar.py in paddle.
      
      * Add job=time and refine cudnn_conv to reduce gpu memroy and speed up
      
      * Refine cudnn_conv and shared biases operation in concat_layer and mixed_layer.
      
      * follow comments
      
      * follow comments
      
      * Use unique_ptr to prevent memory leaks in CudnnConvLayer.
      45c81a41
  19. 30 10月, 2016 1 次提交
  20. 24 10月, 2016 1 次提交
  21. 17 10月, 2016 2 次提交
  22. 09 10月, 2016 1 次提交
  23. 28 9月, 2016 1 次提交
  24. 22 9月, 2016 1 次提交
  25. 21 9月, 2016 1 次提交
  26. 20 9月, 2016 1 次提交
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