darknet-master

所属分类:人工智能/神经网络/深度学习
开发工具:C/C++
文件大小:2165KB
下载次数:3
上传日期:2017-09-23 19:35:28
上 传 者wu joy
说明:  是一种神经网络框架,在其基础上可以实现物体检测,图像分类,模式识别功能。
(Darknet is a neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do right here:)

文件列表:
LICENSE (515, 2017-09-21)
LICENSE.fuck (474, 2017-09-21)
LICENSE.gen (6652, 2017-09-21)
LICENSE.gpl (35141, 2017-09-21)
LICENSE.meta (360, 2017-09-21)
LICENSE.mit (1071, 2017-09-21)
LICENSE.v1 (461, 2017-09-21)
Makefile (2860, 2017-09-21)
cfg (0, 2017-09-21)
cfg\alexnet.cfg (879, 2017-09-21)
cfg\cifar.cfg (1219, 2017-09-21)
cfg\cifar.test.cfg (1174, 2017-09-21)
cfg\coco.data (183, 2017-09-21)
cfg\combine9k.data (273, 2017-09-21)
cfg\darknet.cfg (1051, 2017-09-21)
cfg\darknet19.cfg (1963, 2017-09-21)
cfg\darknet19_448.cfg (2021, 2017-09-21)
cfg\darknet9000.cfg (2092, 2017-09-21)
cfg\densenet201.cfg (19764, 2017-09-21)
cfg\extraction.cfg (2109, 2017-09-21)
cfg\extraction.conv.cfg (1689, 2017-09-21)
cfg\extraction22k.cfg (2182, 2017-09-21)
cfg\go.cfg (1387, 2017-09-21)
cfg\go.test.cfg (1371, 2017-09-21)
cfg\gru.cfg (287, 2017-09-21)
cfg\imagenet1k.data (218, 2017-09-21)
cfg\imagenet22k.dataset (223, 2017-09-21)
cfg\imagenet9k.hierarchy.dataset (205, 2017-09-21)
cfg\jnet-conv.cfg (1081, 2017-09-21)
cfg\msr_152.cfg (15993, 2017-09-21)
cfg\msr_34.cfg (3542, 2017-09-21)
cfg\msr_50.cfg (5744, 2017-09-21)
cfg\resnet50.cfg (5272, 2017-09-21)
cfg\rnn.cfg (433, 2017-09-21)
cfg\rnn.train.cfg (437, 2017-09-21)
cfg\strided.cfg (1778, 2017-09-21)
cfg\t1.test.cfg (1129, 2017-09-21)
... ...

![Darknet Logo](http://pjreddie.com/media/files/darknet-black-small.png) #Darknet# Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. For more information see the [Darknet project website](http://pjreddie.com/darknet). For questions or issues please use the [Google Group](https://groups.google.com/forum/#!forum/darknet).

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