Torch vs. Theano vs. Caffe

Link: http://fastml.com/torch-vs-theano/

Here is my summary:

- Torch and Theano are better to be used for research purpose on deep learning (DL) whereas Caffe is more scaled for DL application development.

- Torch and Theano are competitive in terms of speech and performance via different benchmarks. Hence, choosing one of them depends the ease of use from users.

(to be updated)

Jekyll

Links:
http://karpathy.github.io/2014/07/01/switching-to-jekyll/
http://jekyllrb.com/docs/home/
Intro: to transform your plain text into static websites and blogs.

Andrej Karpathy's blog

Link 1: http://karpathy.github.io/ (Neural Network's basics)
Link 2: http://karpathy.github.io/2015/05/21/rnn-effectiveness/ (Recurrent NN's view)
Intro: A very useful blog from a very good PhD student of Stanford Uni.

Brat

Link: http://brat.nlplab.org/introduction.html

Intro: brat is a web-based tool for text annotation; that is, for adding notes to existing text documents. brat is designed in particular for structured annotation, where the notes are not free-form text but have a fixed form that can be automatically processed and interpreted by a computer.

Wikipedia and LM

Link: http://trulymadlywordly.blogspot.sg/2011/03/creating-text-corpus-from-wikipedia.html
Intro: How to leverage Wikipedia repository to create huge LM data.

C++11

http://www.stroustrup.com/what-is-2009.pdf

http://stackoverflow.com/questions/8851670/relevant-boost-features-vs-c11

http://blog.smartbear.com/c-plus-plus/the-biggest-changes-in-c11-and-why-you-should-care/

https://marcoarena.wordpress.com/2012/02/05/modern-cpp-cookbooks/

It seems that I really don't need Boost library ^^.

Rapid conversion table

Link: http://www.rapidtables.com/