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  • ML博客链接

    http://blog.csdn.net/yingwei13mei/article/category/6602238

    各种都有(系统教程):http://www.easemob.com/news/760

    神级数学推导(日本):https://yjango.gitbooks.io/superorganism/content/xian_xing_dai_shu.html

    caffe大牛:

    http://simtalk.cn/

    SSD开发&tensorboard调参:

    http://manutdzou.github.io/2016/06/08/ssd-development.html

    各种DL论文翻译:

    http://blog.csdn.net/whiteinblue/article/list/1

    计算机视觉博客:

    http://blog.csdn.net/zouxy09

    牛人:

    gag1223:http://gag1223.lofter.com/?page=3&t=1453361794000

    最新论文合集等:

    简介  http://nooverfit.com/wp/

    格林深瞳:http://blog.csdn.net/ture_dream/article/category/6535941

    http://blog.csdn.net/ture_dream/article/category/6450804

    http://blog.csdn.net/abcjennifer

    http://blog.csdn.net/u014696921/article/category/6459748

    faster-rCNN等算法+经典论文翻译:

    http://blog.leanote.com/cate/jony_faker/RCNN

    卷积层&&全链接层:

    https://zhuanlan.zhihu.com/p/21525237

    http://hyichao.github.io/cv/2016/11/08/convolutional-vs-fc.html

    http://blog.csdn.net/YiLiang_/article/details/60468530

    卷积神经网络形象介绍:

    https://zhuanlan.zhihu.com/p/25249694

    CNN目标检测与分割(一):Faster RCNN详解:(每一层的详细讲解)

    http://blog.csdn.net/zy1034092330/article/details/62044941

    CNN目标检测与分割(二):YOLO

    http://lanbing510.info/2017/09/04/YOLOV2.html

    http://blog.csdn.net/zy1034092330/article/details/72807924

    CNN目标检测与分割(三):SSD详解

    http://blog.csdn.net/chenhuahui1993/article/details/78116485

    http://blog.csdn.net/sinat_26917383/article/details/67639189

    http://blog.csdn.net/zy1034092330/article/details/72862030

    如何解释召回率与准确率?

    https://www.zhihu.com/question/19645541

    http://blog.csdn.net/quiet_girl/article/details/70830796

    Dropout浅层理解与实现

    http://blog.csdn.net/stdcoutzyx/article/details/49022443

    http://blog.csdn.net/hjimce/article/details/50413257

    目标检测合集:

    http://www.chongchonggou.com/g_29112981.html

    http://www.chongchonggou.com/g_815559124.html

    http://coolwyj.com/%E9%80%9A%E7%94%A8%E7%89%A9%E4%BD%93%E6%A3%80%E6%B5%8B%E6%96%B9%E6%B3%95%E5%B0%8F%E7%BB%93/

    Deep Learning and Shallow Learning

    http://freemind.pluskid.org/machine-learning/deep-learning-and-shallow-learning/

    常用资料整理:

    http://www.cnblogs.com/tornadomeet/archive/2012/05/24/2515980.html

    常用论文集:

    http://gag1223.lofter.com/post/1d6c7547_88991b2

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  • 原文地址:https://www.cnblogs.com/JZ-Ser/p/7508546.html
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