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1.【30 Free Courses: Neural Networks, Machine Learning, Algorithms, AI】关于神经网络,机器学习,算法,人工智能(AI)等 30 门免费课程。
http://www.datasciencecentral.com/profiles/blogs/neural-networks-for-machine-learning
@网路冷眼
2.最精简的深度强化学习代码,Minimal and Clean Reinforcement Learning Examples
https://github.com/rlcode/reinforcement-learning
By 视觉机器人
3.教程 | 如何用PyTorch实现递归神经网络?
https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650725842&idx=4&sn=a2e725f09cc7062b66c20e9e48fa12b0
By 机器之心
4.【CNN图像分割简史:从R-CNN到Mask R-CNN】《A Brief History of CNNs in Image Segmentation: From R-CNN to Mask R-CNN》by Dhruv Parthasarathy
https://blog.athelas.com/a-brief-history-of-cnns-in-image-segmentation-from-r-cnn-to-mask-r-cnn-34ea83205de4
pdf:
http://t.cn/RXpHSab
机器之心编译:
https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650725842&idx=2&sn=e18500166c6108d7194588befba061a4
@爱可可-爱生活
5.从NLP到“自然语言理解”,Facebook如何让Messenger更懂人类?
http://www.leiphone.com/news/201704/DC5pQHtPXFZG2HzP.html
By 雷锋网
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