20160530.md

• Loss

  • http://rdipietro.github.io/friendly-intro-to-cross-entropy-loss/
  • https://zhuanlan.zhihu.com/p/21562401
  • http://blog.csdn.net/tangwei2014/article/details/46788025
  • http://blog.csdn.net/tangwei2014/article/details/46812153
  • http://blog.csdn.net/tangwei2014/article/details/46815231
  • https://zhuanlan.zhihu.com/p/26268559
  • http://blog.csdn.net/u014313009/article/details/51043064

• DL_Misc

  • http://123.57.71.56/caai/index.php?s=/Home/File/download/id/50.html

  • http://arxiv.org/abs/1404.7828

  • http://people.idsia.ch/~juergen/deep-learning-overview.html

  • https://arxiv.org/abs/1702.07800

  • https://arxiv.org/abs/1611.03530

  • https://m2dsupsdlclass.github.io/lectures-labs/

    • https://github.com/m2dsupsdlclass/lectures-labs

  • http://chuansong.me/n/346908051675

  • http://www.cnblogs.com/neopenx/p/4756246.html

  • http://www.huxiu.com/article/109035

  • http://spectrum.ieee.org/automaton/robotics/artificial-intelligence/facebook-ai-director-yann-lecun-on-deep-learning

  • http://www.cnblogs.com/neopenx/p/4756246.html

  • http://www.cnblogs.com/neopenx/p/5001851.html

  • http://www.cnblogs.com/neopenx/p/4575527.html

  • http://www.kdnuggets.com/2016/03/must-know-tips-deep-learning-part-1.html

  • http://www.kdnuggets.com/2016/03/must-know-tips-deep-learning-part-2.html

  • http://deepdish.io/2015/11/21/building-blocks-of-deep-learning/

  • http://www.infoq.com/cn/articles/Lets-talk-about-deep-learning.

  • http://synchuman.baijia.baidu.com/article/473809

  • http://synchuman.baijia.baidu.com/article/473744

  • https://www.cbinsights.com/blog/artificial-intelligence-startups-healthcare/

  • https://petewarden.com/2015/10/25/an-engineers-guide-to-gemm/

  • https://petewarden.com/2015/04/20/why-gemm-is-at-the-heart-of-deep-learning/

  • https://petewarden.com/2015/08/09/five-deep-links/

  • https://petewarden.com/2014/07/06/what-does-the-future-hold-for-deep-learning/

  • https://petewarden.com/2016/05/17/what-are-gpus-anyway/

  • http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=9155271&fileId=S2048770313000097

    • https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S2048770313000097

  • https://www.microsoft.com/en-us/research/publication/three-classes-of-deep-learning-architectures-and-their-applications-a-tutorial-survey/

    • http://research.microsoft.com/pubs/192937/transactions-apsipa.pdf
    • https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/Transactions-APSIPA.pdf

  • http://rodrigob.github.io/

  • https://culurciello.github.io/tech/2016/06/04/nets.html

  • http://rsarxiv.github.io/

  • https://www.idiap.ch/~fleuret/DLTM/slides/DLTM-slides-Bengio-04072016.pdf

  • http://www.hust.site/深度学习/2016-05-14/270.html

  • http://chuansong.me/n/462966051466

  • https://www.technologyreview.com/s/602344/the-extraordinary-link-between-deep-neural-networks-and-the-nature-of-the-universe/

  • http://arxiv.org/abs/1608.08225

  • https://www.linkedin.com/pulse/what-i-learned-from-deep-learning-summer-school-2016-hamid-palangi

  • https://cloud.google.com/blog/big-data/2016/08/how-a-japanese-cucumber-farmer-is-using-deep-learning-and-tensorflow

  • http://www.asimovinstitute.org/neural-network-zoo/?utm_campaign=Revue%20newsletter&utm_medium=Newsletter&utm_source=revue

  • http://www.nextplatform.com/2016/09/07/next-wave-deep-learning-architectures/

  • http://www.nextplatform.com/2016/09/14/next-wave-deep-learning-applications/

  • http://arxiv.org/abs/1506.05232

  • http://mlg.eng.cam.ac.uk/yarin/blog_2248.html

  • http://russellsstewart.com/notes/0.html

  • http://diydrones.com/profiles/blogs/is-deep-learning-the-future-of-uav-vision

  • http://www.thespermwhale.com/jaseweston/ram/

  • http://llcao.net/cu-deeplearning15/presentation/Robert_EECS_Presentation.pdf

  • http://arxiv.org/abs/1511.05497

  • http://arxiv.org/abs/1507.01122

  • http://arxiv.org/abs/1511.08130

  • http://arxiv.org/abs/1511.08228

  • http://arxiv.org/abs/1603.06430

  • http://arxiv.org/abs/1608.08225

  • http://file.ehuiapp.com/2015/1009/165918.pdf

  • http://www.pdl.cmu.edu/PDL-FTP/CloudComputing/GeePS-cui-eurosys16.pdf

  • http://theconversation.com/understanding-the-four-types-of-ai-from-reactive-robots-to-self-aware-beings-67616

  • https://arxiv.org/abs/1703.05364

  • https://arxiv.org/abs/1703.00810

  • https://www.oreilly.com/ideas/a-look-at-deep-learning-for-science

    • http://people.eecs.berkeley.edu/~jregier/publications/regier2015deep.pdf
    • https://arxiv.org/abs/1506.01351

  • http://chuansong.me/n/1766638442123

    • https://arxiv.org/abs/1611.00740
    • https://arxiv.org/abs/1703.09833
    • http://dspace.mit.edu/handle/1721.1/107841

  • https://venturebeat.com/2016/11/27/computers-could-soon-be-our-best-developers/

    • http://chuansong.me/n/1196390242411

  • https://arxiv.org/abs/1611.01578

  • https://arxiv.org/abs/1704.01552

  • https://arxiv.org/abs/1611.04135

    • https://medium.com/@blaisea/physiognomys-new-clothes-f2d4b59fdd6a

  • https://github.com/erilyth/DeepLearning-Challenges

  • https://medium.com/intuitionmachine/the-peculiar-behavior-of-deep-learning-loss-surfaces-330cb741ec17

  • https://arxiv.org/abs/1705.03071