文件名称:caffe-pretrained-feature-extraction

  • 所属分类:
  • 人工智能/神经网络/遗传算法
  • 资源属性:
  • 上传时间:
  • 2016-11-20
  • 文件大小:
  • 1.13mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • 邓**
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

介绍说明--下载内容均来自于网络,请自行研究使用

使用pretrained Caffe model来提取图像特征-use the pretrained Caffe model to extract features of raw images
(系统自动生成,下载前可以参看下载内容)

下载文件列表





caffe-pretrained-feature-extraction

...................................\.git

...................................\....\HEAD

...................................\....\config

...................................\....\description

...................................\....\hooks

...................................\....\.....\applypatch-msg.sample

...................................\....\.....\commit-msg.sample

...................................\....\.....\post-update.sample

...................................\....\.....\pre-applypatch.sample

...................................\....\.....\pre-commit.sample

...................................\....\.....\pre-push.sample

...................................\....\.....\pre-rebase.sample

...................................\....\.....\prepare-commit-msg.sample

...................................\....\.....\update.sample

...................................\....\index

...................................\....\info

...................................\....\....\exclude

...................................\....\logs

...................................\....\....\HEAD

...................................\....\....\refs

...................................\....\....\....\heads

...................................\....\....\....\.....\master

...................................\....\....\....\remotes

...................................\....\....\....\.......\origin

...................................\....\....\....\.......\......\HEAD

...................................\....\objects

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...................................\....\.......\..\b1ca9f9862c557689d6b3f89893264459fc013

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...................................\....\.......\..\910bbf80c42d099375ac0c14ffab5635dbc4c9

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...................................\....\.......\..\0e12a57b11a9bcbfaacadcde3ee3f32e859a1c

...................................\....\.......\3a

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...................................\....\.......\..\65cb955d8e14e48b3d7ea5ffba8324b07b1b55

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...................................\....\.......\..\c04884351614a037c424a695e0f23f9ee76b0a

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...................................\....\.......\..\48bf26efc8e95d80de79156149177750e439d1

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...................................\....\.......\..\f3c92b9867cee94898585646c3c18e62dee713

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...................................\....\.......\..\94c8f066df220c8fc1c56fb04c4ee1ed9029eb

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