Mục đích: Hiện thực 1 Java Web Service, nhằm đưa ra những thông tin hữu ích từ logs, có giá trị dựa trên những gì bạn thích hoặc tiềm năng trong tương lai, hoặc gây ra rủi ro nguy hiểm cao để mỗi cá nhân tự phòng tránh. (dành cho nhu cầu cá nhân mỗi người)
Implemented code:
Dùng Java 8 with Lambda
https://bitbucket.org/trieunt/rfx/src
1 vài open source tham khảo:
http://deeplearning4j.org/
http://jfuzzylogic.sourceforge.net/html/index.html
https://github.com/orientechnologies/orientdb/wiki/Graph-Database-Tinkerpop
Useful links:
Make suggestions based on what you actually like about your favorite information experiencehttp://gigaom.com/2014/07/29/robots-helped-inspire-deep-learning-and-might-become-its-killer-app/
http://blog.echen.me/2011/07/18/introduction-to-restricted-boltzmann-machines/
The application of Deep Learning in Collaborative Filtering
Netflix Is 'Training' Its Recommendation System By Using Amazon's Cloud To Mimic The Human Brain
http://www.quora.com/Deep-Learning/Whats-the-most-effective-way-to-get-started-with-Deep-Learning
http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial
http://deeplearning.stanford.edu/wiki/index.php/Main_Page
http://www.socher.org/index.php/DeepLearningTutorial/DeepLearningTutorial
Practical case studies
http://danielnouri.org/notes/2014/01/10/using-deep-learning-to-listen-for-whales/
http://radimrehurek.com/2013/09/deep-learning-with-word2vec-and-gensim/
http://radar.oreilly.com/2014/07/how-to-build-and-run-your-first-deep-learning-network.html