深度学习课程部分资料整理

CSC321 Winter 2015: Introduction to Neural Networks

来自 <http://www.cs.toronto.edu/~rgrosse/csc321/notes.html>

http://www.cs.toronto.edu/~rgrosse/csc321/lec6.pdf

ppt较为简洁明了

   

CS224d: Deep Learning for Natural Language Processing

来自 <http://cs224d.stanford.edu/>

http://cs224d.stanford.edu/lecture_notes/LectureNotes5.pdf

介绍较为详细

http://cs224d.stanford.edu/syllabus.html

   

Speech Recognition

来自 <http://cs.nyu.edu/~allauzen/asr15/>

• Guest Lecture 1: Brian Roark: Advanced topics in language modeling: MaxEnt, features and marginal distribution constraints.
• Guest Lecture 2: Shankar Kumar: Statistical Models for Machine Translation.
• Guest Lecture 3: Diamantino Caseiro: Progress in Exponential Language Models.
• Guest Lecture 4: Andrew Senior: Large Vocabulary Continuous Speech Recognition with Long Short-Term Memory Recurrent Networks.

     

  来自 <http://cs.nyu.edu/~allauzen/asr15/>

     

  Deep Learning for Computer Vision and Natural Language Processing

  来自 <http://llcao.net/cu-deeplearning15/>

  这个课程主要配合thenao，参考

  http://deeplearning.net/tutorial/

     

  机器学习工具库

  C++ MXNET

  Python theano, keras, chianer

  注意chianer(define by run)和其它的思路(define and run)不同

  http://www.slideshare.net/beam2d/introduction-to-chainer-a-flexible-framework-for-deep-learning

  MXNet设计笔记之：深度学习的编程模式比较

     

  来自 <http://www.csdn.net/article/2015-10-11/2825883>

     

     

     

  俄罗斯最大搜索引擎Yandex刚开源的faster-rnnlm

     

  来自 <https://www.google.com/search?q=%E4%BF%84%E7%BD%97%E6%96%AF+faster+rnnlm&oq=%E4%BF%84%E7%BD%97%E6%96%AF+faster+rnnlm&aqs=chrome..69i57.11201j0j7&sourceid=chrome&es_sm=93&ie=UTF-8>

     

  https://github.com/yandex/faster-rnnlm