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2017.5.15-2017.5.19 增强学习

(2017-05-19 23:36:35)
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增强学习

分类: 深度学习
2017 data science bowl 2nd https://github.com/dhammack/DSB2017/ https://github.com/juliandewit/kaggle_ndsb2017/
增强学习介绍 https://lufficc.com/blog/reinforcement-learning-and-implementation https://github.com/lufficc/dqn
Demystifying Deep Reinforcement Learning https://www.nervanasys.com/demystifying-deep-reinforcement-learning/
Santander Product Recommendation https://github.com/ttvand/Santander-Product-Recommendation
https://github.com/aaron-xichen/pytorch-playground Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
伯克利增强学习课程 http://rll.berkeley.edu/deeprlcourse/
DQN 从入门到放弃1 DQN与增强学习 https://zhuanlan.zhihu.com/p/21262246
alphago介绍 http://www0.cs.ucl.ac.uk/staff/D.Silver/web/Resources_files/AlphaGo_IJCAI.pdf
geohash https://en.wikipedia.org/wiki/Geohash http://blog.csdn.net/zmx729618/article/details/53068170 http://www.cnblogs.com/dengxinglin/archive/2012/12/14/2817761.html
    com.spatial4j
    spatial4j
    0.5
    ch.hsr
    geohash
    1.3.0
http://blog.csdn.net/ghsau/article/details/50591932
deepmind papers https://deepmind.com/research/publications/
How we built Tagger News: machine learning on a tight schedule http://varianceexplained.org/programming/tagger-news/  https://github.com/dodger487
mnist data csv format https://pjreddie.com/projects/mnist-in-csv/
deep chatbots https://github.com/mckinziebrandon/DeepChatModels

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