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Demis Hassabis

Demis Hassabis FRSA is a British artificial intelligence researcher, neuroscientist, computer game designer, entrepreneur, and world-class games player.

Distributed TensorFlow
- http://leotam.github.io/general/2016/03/13/DistributedTF.html
美国的计算神经科学博士生活是什么样的？ - 知乎
- https://www.zhihu.com/question/22553632
【前沿】深度学习顶会 ICLR 2018 匿名提交论文列表（附pdf...
- https://zhuanlan.zhihu.com/p/30565855
One-Page AlphaGo -- 10分钟看懂AlphaGo的核心算法
- https://zhuanlan.zhihu.com/p/27057337
你给哪些牛人发过邮件？有哪些结果？ - 知乎
- https://www.zhihu.com/question/34630803/answer/245832181
哈萨比斯首次解读AlphaZero竟被当场diss，然后他起身当面回击
- https://zhuanlan.zhihu.com/p/31825561
Offer选择, 帝国理工高级计算科学，UCL...
- https://www.zhihu.com/question/58847240
Dependency parsing for Japanese using CaboCha
- https://ntson2002.github.io/2017/09/15/cabocha.html
2014reading weibo信息轨迹6 neural science | tonyskywalker
- http://tonyskywalker.github.io/2014/05/16/weibo-infos-6-neural-science/
What is deep learing? - TonyDeep’s Research Blog
- https://tonydeep.github.io/posts/2017/09/15/what-is-deep-learning
Demis Hassabis: mindful infrastructures and re-concatenated...
- http://rian39.github.io/infrastructure/2015/02/06/Demis-Hassabis-Mindful-Infrastructures.html
Psychlab: A Psychology Laboratory for Deep Reinforcement...
- https://amds123.github.io/2018/01/24/Psychlab-A-Psychology-Laboratory-for-Deep-Reinforcement-Learning-Agents/
Dealing with Feedback
- https://ucbrise.github.io/cs294-rise-fa16/bandits_and_rl.html
What is deep learning?
- https://greydanus.github.io/2016/08/05/what-is/
Making sense of NIPS 2017
- https://greydanus.github.io/2017/12/23/nips/
63 人赞了【精选干货】 2017年12月份机器学习排名前10...
- https://zhuanlan.zhihu.com/p/32600161/voters
Basic Readings · Deep Learning 2Read
- https://qdata.github.io/deep2Read/Basic2LearnDeep/
AlphaGo 代表的是英国吗？为什么不是 Google...
- https://www.zhihu.com/question/41177114/answer/89958382
Using Keras and Deep Q-Network to Play FlappyBird | Ben Lau
- https://yanpanlau.github.io/2016/07/10/FlappyBird-Keras.html
Mastering the game of Go without human knowledge
- https://qdata.github.io/deep2Read/talks/20171130-Ji.pdf

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