
DeepLearning
xuehaowang
有态度的科研小白,兴趣:计算机视觉,人工智能
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多Cuda/Cudnn版本切换
1. 软链接 下载并安装cuda-9 cd ~/Downloads sudo sh cuda_9.0.176_384.81_linux.run 注意安装过程中提示是否安装驱动的时候选择n,是否创建软连接选择n,其他都选择是 安装Cudnn cd ~/Downloads tar -xvf cudnn-9.0-linux-x64-v7.tgz sudo cp cuda/include/cudnn.h /usr/local/cuda-9.0/include/ sudo cp cuda/lib64/l原创 2020-08-18 09:54:23 · 352 阅读 · 1 评论 -
DeepLearning: Conv/Deconv/Relu/Loss/BatchNorm 的关系(非理论探究)
Contact Me: 王雪豪 xuehaowang@buaa.edu.cn Itisgenerallyknownthat the order is important when you use the Conv Layers and Activation Layers. We usually use them as follow: conv -> relu conv -&...原创 2019-08-03 12:54:14 · 891 阅读 · 0 评论 -
DeepLearning: Inspired by DSS ——Multi-layer merge loss and Relu
Contact Me: 王雪豪 xuehaowang@buaa.edu.cn In Paper <Deeply Supervised Salient Object Detectionwith Short Connections>, the author merge multi-level score layers to calculate the Loss value. It u...原创 2019-08-11 12:14:06 · 229 阅读 · 0 评论