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机器学习人工学weekly-2018/9/2

注意下面很多链接需要科学上网,无奈国情如此

1. Google开源RL快速原型框架Dopamine

Introducing a New Framework for Flexible and Reproducible Reinforcement Learning Research

链接:

https://ai.googleblog.com/2018/08/introducing-new-framework-for-flexible.html

2. Google Assistant支持同时语言混搭对话

Teaching the Google Assistant to be Multilingual

链接:

https://ai.googleblog.com/2018/08/Multilingual-Google-Assistant.html

3. Google TPU动画介绍

What makes TPUs fine-tuned for deep learning?

链接:

https://cloud.google.com/blog/products/ai-machine-learning/what-makes-tpus-fine-tuned-for-deep-learning

动画展示:

https://tpudemo.com/

4. Uber用深度学习替代一般机器学习做客服ticket

Scaling Uber’s Customer Support Ticket Assistant (COTA) System with Deep Learning

链接:

https://eng.uber.com/cota-v2/

5. BAIR文章,用RL快速学习机械手动作

Dexterous Manipulation with Reinforcement Learning: Efficient, General, and Low-Cost

链接:

https://bair.berkeley.edu/blog/2018/08/31/dexterous-manip/

6. federated learning介绍

链接:

https://florian.github.io/federated-learning/

7. 3D物体

Beyond the pixel plane: sensing and learning in 3D

链接:

https://thegradient.pub/beyond-the-pixel-plane-sensing-and-learning-in-3d/

8. NLP泛化问题

NLP’s generalization problem, and how researchers are tackling it

链接:

https://thegradient.pub/frontiers-of-generalization-in-natural-language-processing/

9.重现论文实现,RL learn2learn经典算法MAML和Reptile

Paper repro: Deep Metalearning using “MAML” and “Reptile”

链接:

https://towardsdatascience.com/paper-repro-deep-metalearning-using-maml-and-reptile-fd1df1cc81b0

  • 发表于:
  • 原文链接https://kuaibao.qq.com/s/20180901A10DOL00?refer=cp_1026
  • 腾讯「腾讯云开发者社区」是腾讯内容开放平台帐号(企鹅号)传播渠道之一,根据《腾讯内容开放平台服务协议》转载发布内容。
  • 如有侵权,请联系 cloudcommunity@tencent.com 删除。

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