这是一份很有竞争力的榜单
排名综合了很多因素
你将看到最前沿的内容
文中部分没有下载链接的论文
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第一名
Alpha Zero:Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm. Courtesy of Demis Hassabis and others at Deepmind
论文
《Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm》
(论文在文末下载)
视频地址
https://youtu.be/7-MborNxYWE
第二名
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs。由加利福尼亚大学伯克利分校和Nvidia Research的Ming-Yu Liu等人。
论文
https://arxiv.org/pdf/1711.11585.pdf
代码
https://github.com/NVIDIA/pix2pixHD
第三名
Capsule Networks Tutorial — Aurelien Geron (Geob Hinton on this video: “This is an amazingly good video. I wish I could explain capsules that well”). Courtesy of Aurélien Géron
视频地址
https://www.youtube.com/watch?v=pPN8d0E3900&feature=youtu.be
第四名
Artwork Personalization at Neteix(论文在文末下载)
[Part I: Courtesy of Neteix Technology Blog]
[Part 2:Innovating Faster on Personalization Algorithms at Neteix Using Interleaving]
第五名
A Year in Computer Vision. Courtesy of Ben Duby and Daniel Flynn(论文在文末下载)
第六名
Sequence Modeling with CTC. Courtesy of Distill
网址
https://distill.pub/2017/ctc/?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more
第七名
吴恩达最新研究成果
Improving Palliative Care with Deep Learning. Courtesy of Andrew Ng and others at Stanford ML Group
论文
https://arxiv.org/pdf/1711.06402.pdf
第八名
Evolving Stable Strategies. Courtesy of hard maru at Google Brain
第九名
Some Deep Learning with Python, TensorFlow and Keras
地址
https://sandipanweb.wordpress.com/2017/11/25/some-deep-learning-with-python-tensorflow-and-keras/?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more
第十名
Introduction To Neural Networks
[Part I]. Courtesy of Ben Gorman at GormAnalysis
地址
http://blog.kaggle.com/2017/11/27/introduction-to-neural-networks/
[Part II]. A Worked Example ]
地址
http://blog.kaggle.com/2017/12/06/introduction-to-neural-networks-2/
来源
https://medium.mybridge.co/machine-learning-top-10-articles-for-the-past-month-v-dec-2017-82883b8062f5?source=userActivityShare-19d54032c7a-1513853387
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