随笔分类 - DeepLearning
摘要:Linux下操作 1. 将loss值存储到lossInf.txt中 2. Python画出loss曲线
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摘要:http://blog.csdn.net/diamonjoy_zone/article/details/70576775 参考: 1. Inception[V1]: Going Deeper with Convolutions 2. Inception[V2]: Batch Normalizatio
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摘要:http://blog.csdn.net/czp0322/article/details/52161759 solver.prototxt 今天在做FCN实验的时候,发现solver.prototxt文件一直用的都是model里自带的,一直都对里面的参数不是很了解,所以今天认真学习了一下里面各个参数
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摘要:设置Makefile.config 打开开关: USE_NCCL := 1, 并添加nccl库路径 USE_NCCL := 1 INCLUDE_DIRS += /path/nccl/build/include LIBRARY_DIRS += /path/nccl/build/lib
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摘要:Github: https://github.com/Haiyang21/Caffe_MultiLabel_Classification Blogs 1. 采用多label的lmdb+Slice Layer的方法 http://blog.csdn.net/u013010889/article/det
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摘要:分类网络总结 https://github.com/handong1587/handong1587.github.io/blob/master/_posts/deep_learning/2015-10-09-dl-resources.md
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摘要:a 2017 guide to semantic segmentation with deep learning paper: http://blog.qure.ai/notes/semantic-segmentation-deep-learning-review ParseNet: Looking
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摘要:人脸特征点定位 Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks codes: https://github.com/kpzhang93/MTCNN_face_dete
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摘要:https://github.com/handong1587/handong1587.github.io/blob/master/_posts/deep_learning/2015-10-09-acceleration-model-compression.md
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摘要:https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html cs231n学习笔记-CNN-目标检测、定位、分割 http://blog.csdn.net/myarrow/article/details/51
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摘要:1.解决deeplab编译问题 http://m.2cto.com/kf/201612/579545.html
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摘要:https://github.com/BVLC/caffe/pull/1667
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摘要:Automatic Portrait Segmentation for Image Stylization projectweb:http://xiaoyongshen.me/webpage_portrait/index.html http://people.csail.mit.edu/sparis
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摘要:Install py-faster-rcnn following the official version https://github.com/rbgirshick/py-faster-rcnn Build the Cython modules cd $FRCN_ROOT/lib make cd
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摘要:采用Pascal VOC数据集的组织结构,来构建自己的数据集,这种方法是faster rcnn最便捷的训练方式
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