机器学习人工学weekly-2018/8/26

注意下面很多链接需要科学上网，无奈国情如此

1. DeepMind用AI控制数据中心，能源消耗减少了30%

Safety-first AI for autonomous data centre cooling and industrial control

链接：

https://deepmind.com/blog/safety-first-ai-autonomous-data-centre-cooling-and-industrial-control/

2. 深度学习在NLP领域应用

Deep Learning for NLP: An Overview of Recent Trends

链接：

https://medium.com/dair-ai/deep-learning-for-nlp-an-overview-of-recent-trends-d0d8f40a776d

3. Stanford CS229 cheatsheets

链接：

https://stanford.edu/~shervine/teaching/cs-229.html

4. 微软发布DoWhy causal inference开源库

DoWhy – A library for causal inference

链接：

https://www.microsoft.com/en-us/research/blog/dowhy-a-library-for-causal-inference/

5. neural architecture search概述文

Neural Architecture Search: A Survey

链接：

https://arxiv.org/pdf/1808.05377.pdf

6. neural architecture search科普文

Everything you need to know about AutoML and Neural Architecture Search

链接：

https://towardsdatascience.com/everything-you-need-to-know-about-automl-and-neural-architecture-search-8db1863682bf

7. 用故事讲解VAE

The Variational Autoencoder as a Two-Player Game (3 parts)

链接：

https://towardsdatascience.com/the-variational-autoencoder-as-a-two-player-game-part-i-4c3737f0987b

8. 3D环境里的感知和学习

Beyond the pixel plane: sensing and learning in 3D

链接：

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

9. Semantic Segmentation教程

Diving into Deep Convolutional Semantic Segmentation Networks and Deeplab_V3

链接：

https://medium.freecodecamp.org/diving-into-deep-convolutional-semantic-segmentation-networks-and-deeplab-v3-4f094fa387df

10. PyTorch手工写RNN

Building RNNs is Fun with PyTorch and Google Colab

链接：

https://medium.com/dair-ai/building-rnns-is-fun-with-pytorch-and-google-colab-3903ea9a3a79