Torch/Lua学习资料汇总
2015-11-13 17:03
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在学习Torch/Lua的过程中,积累了一些资料,现汇总如下,自己会随时补充,也欢迎大家补充!
1、Torch Package Reference Manual,Torch帮助手册
网址:http://torch7.readthedocs.org/en/latest/index.html
2、Deep Learning with Torch,Torch平台上的深度学习,60分钟教程,很详细!
https://github.com/soumith/cvpr2015/blob/master/Deep%20Learning%20with%20Torch.ipynb
3、Cheatsheet:
https://github.com/torch/torch7/wiki/Cheatsheet
4、Torch/Lua Material for Deep Learning
网址:http://blog.sciencenet.cn/blog-713652-906580.html
5、Demos / Turorials for Torch7
https://github.com/torch/demos
6、Torch7学习笔记(一)
网址:http://www.cnblogs.com/crossing/p/4826659.html
7、Torch7学习笔记(二)nn Package
http://www.bubuko.com/infodetail-1107562.html
8、知乎:torch7怎么样?和theano和caffe相比如何?
http://www.zhihu.com/question/34789475?sort=created
9、CNN_Torch7:
https://github.com/guoyilin/CNN_Torch7
10、Applied Deep Learning for Computer Vision with Torch:
http://torch.ch/docs/cvpr15.html
11、five simple hands-on steps, to get started with Torch:
“>http://torch.ch/docs/five-simple-examples.html#
12、Applied Deep Learning for Computer Vision with Torch:
http://torch.ch/docs/cvpr15.html
13、Where developers come to talk? Torch平台上类似问答的网站
https://gitter.im/torch/torch7
14、cvpr2015:
https://github.com/soumith/cvpr2015
15、CVPR 2015深度学习回顾:ConvNet、Caffe、Torch及其他:
http://www.csdn.net/article/2015-08-06/2825395
16、Oxford Computer Science - Machine Learning 2015:
https://github.com/oxford-cs-ml-2015
17、Machine Learning: 2014-2015 Course materials:
https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/
18、rnn: recurrent neural networks:
https://github.com/Element-Research/rnn
19、Awesome Recurrent Neural Networks:
http://jiwonkim.org/awesome-rnn/#codes
20、lua学习笔记
http://blog.csdn.net/shangyt/article/details/40683947
1、Torch Package Reference Manual,Torch帮助手册
网址:http://torch7.readthedocs.org/en/latest/index.html
2、Deep Learning with Torch,Torch平台上的深度学习,60分钟教程,很详细!
https://github.com/soumith/cvpr2015/blob/master/Deep%20Learning%20with%20Torch.ipynb
3、Cheatsheet:
https://github.com/torch/torch7/wiki/Cheatsheet
4、Torch/Lua Material for Deep Learning
网址:http://blog.sciencenet.cn/blog-713652-906580.html
5、Demos / Turorials for Torch7
https://github.com/torch/demos
6、Torch7学习笔记(一)
网址:http://www.cnblogs.com/crossing/p/4826659.html
7、Torch7学习笔记(二)nn Package
http://www.bubuko.com/infodetail-1107562.html
8、知乎:torch7怎么样?和theano和caffe相比如何?
http://www.zhihu.com/question/34789475?sort=created
9、CNN_Torch7:
https://github.com/guoyilin/CNN_Torch7
10、Applied Deep Learning for Computer Vision with Torch:
http://torch.ch/docs/cvpr15.html
11、five simple hands-on steps, to get started with Torch:
“>http://torch.ch/docs/five-simple-examples.html#
12、Applied Deep Learning for Computer Vision with Torch:
http://torch.ch/docs/cvpr15.html
13、Where developers come to talk? Torch平台上类似问答的网站
https://gitter.im/torch/torch7
14、cvpr2015:
https://github.com/soumith/cvpr2015
15、CVPR 2015深度学习回顾:ConvNet、Caffe、Torch及其他:
http://www.csdn.net/article/2015-08-06/2825395
16、Oxford Computer Science - Machine Learning 2015:
https://github.com/oxford-cs-ml-2015
17、Machine Learning: 2014-2015 Course materials:
https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/
18、rnn: recurrent neural networks:
https://github.com/Element-Research/rnn
19、Awesome Recurrent Neural Networks:
http://jiwonkim.org/awesome-rnn/#codes
20、lua学习笔记
http://blog.csdn.net/shangyt/article/details/40683947
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