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机器学习人工学weekly-2018/7/8

注意下面很多链接需要科学上网,无奈国情如此

1. Nathan Benaich(一个伦敦投资AI的VC,比较懂技术)写的state of AI ppt,写的不错,还有他不久之前组织的一次AI会议(水准较高,RAAIS 2018,之前从YouTube上下载了,但是现在突然从YouTube上找不到了,)

ppt链接:https://www.slideshare.net/nb410/the-state-of-artificial-intelligence-in-2018-a-good-old-fashioned-report-103568798?ref=https://www.stateof.ai/?utm_source=Benedict%27s+newsletter&utm_campaign=2d31332e36-Benedict%27s+Newsletter_COPY_01&utm_medium=email&utm_term=0_4999ca107f-2d31332e36-70367261

2. Core ML和ML Kit对比

Core ML vs ML Kit: Which Mobile Machine Learning Framework Is Right for You?

链接:https://heartbeat.fritz.ai/core-ml-vs-ml-kit-which-mobile-machine-learning-framework-is-right-for-you-e25c5d34c765

3. 贝叶斯超参优化

A Conceptual Explanation of Bayesian Hyperparameter Optimization for Machine Learning

链接:https://towardsdatascience.com/a-conceptual-explanation-of-bayesian-model-based-hyperparameter-optimization-for-machine-learning-b8172278050f

4. Mask R-CNN讲解

Mask R-CNN explained

链接:https://becominghuman.ai/mask-r-cnn-explained-7f82bec890e3

5. Google通过给视频里的物体上色来做目标追踪

Self-Supervised Tracking via Video Colorization

链接:https://ai.googleblog.com/2018/06/self-supervised-tracking-via-video.html?utm_campaign=Artificial%2BIntelligence%2BWeekly&utm_medium=email&utm_source=Artificial_Intelligence_Weekly_79

6. 用ML学习电商网站的网页模版(这个场景比较小众)

Inside the BloomReach Algorithm - Using Machine Learning to Understand Page Templates

链接:https://www.bloomreach.com/en/blog/2018/07/using-machine-learning-to-learn-page-templates.html

7. Google对抗编程神经网络

Adversarial Reprogramming of Neural Networks

链接:https://arxiv.org/pdf/1806.11146.pdf

8. Bloomberg关于AI的纪录片,众多大佬出现Hinton, Sutton, Bengio

The Rise of AI

链接:https://www.youtube.com/watch?v=Dk7h22mRYHQ&t=1228s

9. OpenAI攻克Montezuma’s Revenge这个很难的游戏

Learning Montezuma’s Revenge from a Single Demonstration

链接:https://blog.openai.com/learning-montezumas-revenge-from-a-single-demonstration/

  • 发表于:
  • 原文链接https://kuaibao.qq.com/s/20180708A09GRC00?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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