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爱可可老师24小时热门分享(2016.06.07)

2016年6月7日 21:35 阅读 2125
No 1. 《常见的几种最优化方法》
No 2. 'Google 深度学习笔记'  by 梦里风林 //t.cn/R5c2BSr...
No 3. 'DeepFace - 基于开源框架实现的人脸识别、脸脸检测、人脸关键点检测等任务' by Riwe...
No 4. 《拉格朗日乘数法》
No 5. 'Machine and Deep Learning in Python' by Piotr Szw...
No 6. 'CS 281B/Stat 241B - Statistical Learning Theory (...
No 7. 《国外十大高校人工智能实验室及其代表性人物一览》
No 8. //t.cn/R5cARGg 华北电力大学赵振兵副教授为大家带来的深度学习在电力行业的应用...
No 9. 《机器学习专家带你实践LSTM语言模型》
No 10. 《Hands-on with the NVIDIA DIGITS DevBox for Deep Learning | PyImageSearch》
No 11. 《David Silver强化学习公开课之一 —— 强化学习入门 》
No 12. 《从SNE到t-SNE再到LargeVis》
No 13. 《Neural Network Architectures》
No 14. 《Learning to Optimize》
No 15. 《What are the Best Machine Learning Packages in R? | R-bloggers》
No 16. 'Infographics: A Visual Guide to Statistical Model...
No 17. 《Bisecting k-means聚类算法实现》
No 18. 《XGBoost workshop and meetup talk with Tianqi Chen | Data Science Los Angeles》
No 19. 【visual Tracking 领域最新进展(论文与源码)】
No 20. Kaiming大神又出必杀！通过分析Residual Nets，提出可以凭借Identity Map...
No 21. 《R, Python Duel As Top Analytics, Data Science software》
No 22. 《Exploiting Multi-typed Treebanks for Parsing with Deep Multi-task Learning》
No 23. 《Exploring Deep Learning with LI Zhe》
No 24. 《机器学习与数据挖掘的学习路线图》
No 25. 《Former NASA chief unveils $100 million neural chip maker KnuEdge | VentureBeat》
No 26. (Pre-release)'TensorFlow v0.9.0 RC0' //t.cn/R...
No 27. 《Big Data Processing with Apache Spark - Part 4: Spark Machine Learning》
No 28. 《Artificial intelligence is changing SEO faster than you think | TechCrunch》
No 29. 《Using R Language with Anaconda》
No 30. 《Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations》
No 31. 《Gaussian Processes for Music Audio Modelling and Content Analysis》
No 32. 'ImageNe Large Scale Visual Recognition Challenge ...
No 33. 《A Guide to Gradient Boosted Trees with XGBoost in Python》
No 34. 《A Look at Popular Machine Learning Frameworks》
No 35. 【论文:深度多任务/迁移强化学习Actor-Mimic方法】
No 36. 《Building a Distributed Machine Learning Testbench with resin.io》
No 37. 'Easy Tensorflow - provides users with methods for...
No 38. 《Text Mining 50 Years of Popular Music》
No 39. 《I want to use C++ to learn Machine Learning instead of Python or R, is it fine? - Quora》
No 40. 'DEAP - Distributed Evolutionary Algorithms in Pyt...
No 41. 《Computer Vision Research: The deep 'depression'》
No 42. 《Deep Q-Networks for Accelerating the Training of Deep Neural Networks》
No 43. 'RoBO - a Robust Bayesian Optimization framework' ...
No 44. 'Dlib - a modern C++ toolkit containing machine le...
No 45. 转发微博//我们正在将THUNLP研究成果整理到github开源：//t.cn/R5cly...
No 46. 'Access a database of word frequencies, in various...
No 47. 《利用R语言进行交互数据可视化》
No 48. 《How Deep is the Feature Analysis underlying Rapid Visual Categorization?》
No 49. 《Synthesizing the preferred inputs for neurons in neural networks via deep generator networks》
No 50. 《Automated identification of mouse behavioral modules (using nonparametric Bayesian AR-HMM) | Pillow Lab Blog》

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