杂谈

论文学习网站

自然语言处理

• http://web.stanford.edu/~jurafsky/slp3/
• http://web.stanford.edu/~jurafsky/slp3/ed3book.pdf

2018.2.26

强力转需
1.【新书：深度学习从基础到实践】《Deep Learning: From Basics to Practice》by Andrew Glassner (2018)
https://www.amazon.com/dp/B079XSQNRX
https://www.amazon.com/dp/B079Y1M81K
GitHub(Jupyter notebooks and Figures)：
https://github.com/blueberrymusic/DeepLearningBookFigures-Volume1
https://github.com/blueberrymusic/DeepLearningBookFigures-Volume2
By 爱可可-爱生活

2.【TensorFlow语义分割组件】’Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!' by George Seif
GitHub：https://github.com/GeorgeSeif/Semantic-Segmentation-Suite
By 爱可可-爱生活

3.Goodfellow最新对抗样本，连人类都分不清是狗是猫
http://mp.weixin.qq.com/s/8V6YTyKmpv-56qr0ugujFA
By AI科技评论

4.代码+实战：TensorFlow Estimator of Deep CTR——DeepFM/NFM/AFM/FNN/PNN
https://www.leiphone.com/news/201802/Ww8lFM1pyAkC4LGa.html
By 雷锋网

2018.2.28

强力转需：

1.动手学深度发布0.6版，包含从CNN到LSTM，计算机视觉到自然语言处理的80+教程，以及教学视频录像。
http://zh.gluon.ai/
By 李沐M

2.Ian Goodfellow推荐的10篇GAN进展跟踪文献
https://weibo.com/ttarticle/p/show?id=2309404212119326295632
By 爱可可-爱生活

3.谷歌研究总监Peter Norvig近日把自己书籍Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp的PDF本上传到Github供大家免费下载。同时，还公开了他的LISP程序。
https://github.com/norvig/paip-lisp
By 王威廉

2018.3.9

强力转需：

1.【深度学习工作机制通俗介绍】《Why Deep Learning Works》by Monica Anderson
https://artificial-understanding.com/why-deep-learning-works-1b0184686af6
pdf：https://pan.baidu.com/s/1pMdgZs3
By 爱可可-爱生活

2.【最值得学习的七本深度学习书】《The 7 best deep learning books you should be reading right now | PyImageSearch》by Adrian Rosebrock
https://www.pyimagesearch.com/2018/03/05/7-best-deep-learning-books-reading-right-now/
By 爱可可-爱生活

3.【TensorFlow Tutorials with YouTube Videos】带有YouTube视频的TensorFlow教程。
https://github.com/Hvass-Labs/TensorFlow-Tutorials
By 网路冷眼

4.「神经网络」能否代替「决策树算法」？
https://weibo.com/ttarticle/p/show?id=2309404213436883035081#_0
By 阿萨姆谈AI

5.如何理解和评价机器学习中的表达能力、训练难度和泛化性能
http://mp.weixin.qq.com/s/hkpciMJ6ybfxqXGild6EKg
By AI科技评论

6.【Andrew Ng(Coursera)深度学习课程笔记】《Notes from Coursera Deep Learning courses by Andrew Ng》by Tess Ferrandez
https://www.slideshare.net/TessFerrandez/notes-from-coursera-deep-learning-courses-by-andrew-ng
pdf：https://pan.baidu.com/s/1evJgDG7sYHbttPDtF5R6jQ
By 爱可可-爱生活

7.用GPU加速深度学习: Windows安装CUDA+TensorFlow教程
https://zhuanlan.zhihu.com/p/29841665
By 微调

8.推荐阿里刚刚发布的两篇用强化学习做RTB展示广告出价的论文。
（1） Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising
https://arxiv.org/pdf/1802.08365.pdf
（2）Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising
https://arxiv.org/pdf/1802.09756.pdf
By 张伟楠zwner

9.【开发人员机器学习指南】《A developers guide to Machine Learning - YouTube》by Tess Ferrandez-Norlander
https://www.youtube.com/watch?v=hjpUHZY5-18
B站：https://www.bilibili.com/video/av19692434/
Slides：https://pan.baidu.com/s/1DktlKzeyQOV_qb0QqovPQw
By 爱可可-爱生活

10.【NLP入门】《Get started with NLP》by sigmoider
Part1:https://medium.com/@gon.esbuyo/get-started-with-nlp-part-i-d67ca26cc828
Part2:https://medium.com/@gon.esbuyo/get-started-with-nlp-part-ii-overview-of-an-nlp-workflow-7ba1f5948b24
By 爱可可-爱生活

11.吴恩达导师Michael I.Jordan学术演讲：如何有效避开鞍点（视频+PPT）
http://mp.weixin.qq.com/s/idmt0F49tOCh-ghWdHLdUw
By 大数据文摘

12.【机器学习自动化建模论文导读】Awesome-AutoML-Papers by hibayesian
Github:https://github.com/hibayesian/awesome-automl-papers
By hibayesian

13.谷歌大脑发布神经网络的「核磁共振」，并公开相关代码
http://mp.weixin.qq.com/s/_k_W85aQnZ930Cqe2T8Ssg
By AI科技评论

深度学习/人工智能资料：https://pan.baidu.com/s/134fws3wk3X9wjlUVm6TKWg

RL: https://arxiv.org/pdf/1707.01495.pdf