干货!《深度学习》经典课程视频、博客、网站及笔记

版权声明:本文为博主原创文章,未经允许不得转载。 https://blog.csdn.net/qq_35210586/article/details/89163876

作者: 邓小猪
博客:https://blog.csdn.net/qq_35210586
知乎:https://www.zhihu.com/people/dengxiaozhu/activities
2019 年 3 月 30 日

同时,也欢迎大家关注我的知乎:邓小猪,会不定期有新的干货更新。一起学习一起进步呀!_

视频推荐:

  1. 吴恩达deeplearning.ai课程地址:https://mooc.study.163.com/smartSpec/detail/1001319001.htm
    吴恩达deeplearning.ai笔记地址:https://blog.csdn.net/Koala_Tree/column/info/17767
    吴恩达deeplearning.ai视频课程笔记版:http://www.ai-start.com/dl2017/
    吴恩达机器学习和深度学习课程笔记打印版:https://zhuanlan.zhihu.com/p/35940466
  2. 持续更新

论文网站:

  1. CV论文网址:
    https://arxiv.org/list/cs.CV/recent
    http://openaccess.thecvf.com/menu.py

  2. AlexNet+VGG+ResNet+GoogLeNet+BN-GoogLeNet+Inception-v3+SENet中英文翻译:
    https://github.com/SnailTyan/deep-learning-papers-translation

标注工具:

  1. 调研汇总:https://blog.csdn.net/chaipp0607/article/details/79036312
    https://github.com/mingx9527/Data_Label_Tools

概念理解:

  1. Understanding Categorical Cross-Entropy Loss, Binary Cross-Entropy Loss, Softmax Loss, Logistic Loss, Focal Loss and all those confusing names:https://gombru.github.io/2018/05/23/cross_entropy_loss/

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