注意下面很多链接需要访问外国网站,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
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