1. Google I/O召开大会,个人觉得最有意思的是TPU 3.0和AI冒充真人打电话
1. 1 Google Duplex: An AI System for Accomplishing Real World Tasks Over the Phone
链接:https://ai.googleblog.com/2018/05/duplex-ai-system-for-natural-conversation.html
1. 2 ML Kit
链接:https://developers.google.com/ml-kit/
2. DeepMind
2.1 DeepMind发到Nature上最新的工作, grid cell
Navigating with grid-like representations in artificial agents
链接:https://deepmind.com/blog/grid-cells/
2.2 在今年ICLR上的论文
链接:https://deepmind.com/blog/deepmind-papers-iclr-2018/?utm_campaign=Revue%20newsletter&utm_medium=Newsletter&utm_source=Deep%20Learning%20Weekly
2.3 DeepMind帮安卓优化电池
DeepMind, meets Android
链接:https://deepmind.com/blog/deepmind-meet-android/?utm_campaign=ARCHITECHT&utm_medium=email&utm_source=ARCHITECHT_25
3. 名校课程
3.1 哈佛CS109数据科学课程
链接:http://cs109.github.io/2015/index.html
3.2 伯克利CS189机器学习课程
链接:https://www.eecs189.org/
4. Facebook短视频介绍ML
Facebook’s Field Guide to Machine Learning video series
链接:https://research.fb.com/the-facebook-field-guide-to-machine-learning-video-series/
5. meta-learning: 遗传算法学模型超参简介
Genetic Algorithms + Neural Networks = Best of Both Worlds
链接:https://towardsdatascience.com/gas-and-nns-6a41f1e8146d
6. active learning框架
链接:https://cosmic-cortex.github.io/modAL/
7. CNN详解
Convolutional Neural Networks: The Biologically-Inspired Model
链接:https://www.codementor.io/james_aka_yale/convolutional-neural-networks-the-biologically-inspired-model-iq6s48zms
8. 神经网络可视化工具
Visualizing Artificial Neural Networks (ANNs) with just One Line of Code
链接:https://towardsdatascience.com/visualizing-artificial-neural-networks-anns-with-just-one-line-of-code-b4233607209e
9. Restricted Boltzmann Machines的解释
Deep Learning meets Physics: Restricted Boltzmann Machines
链接:https://towardsdatascience.com/deep-learning-meets-physics-restricted-boltzmann-machines-part-i-6df5c4918c15
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