denizyuret.com
Deniz Yuret's Homepage: Julia, neural nets, parallelism, and parsing
http://www.denizyuret.com/2015/06/julia-neural-nets-parallelism-and.html
160; BibTeX. 160; Courses. 160; CV. 160; Downloads. 160; GitHub. 160; Publications. 160; Projects. 160; Scholar. 160; Students. June 16, 2015. Julia, neural nets, parallelism, and parsing. A short Julia tutorial I gave at ISI based on my earlier. Subscribe to: Post Comments (Atom). 100;yuret@ku.edu.tr. Beginning deep learning with 500 lines of Julia. Machine learning in 10 pictures. Ergun's English-Turkish machine translation notes. Some starting points for deep learning and RNNs.
denizyuret.com
Deniz Yuret's Homepage: Parsing the Penn Treebank in 60 seconds
http://www.denizyuret.com/2015/03/parallelizing-parser.html
160; BibTeX. 160; Courses. 160; CV. 160; Downloads. 160; GitHub. 160; Publications. 160; Projects. 160; Scholar. 160; Students. March 06, 2015. Parsing the Penn Treebank in 60 seconds. The code used in this post. Parallel processing for natural language. Same idea, Matlab version). Beginning deep learning with 500 lines of Julia. A greedy transition based parser. Parses a sentence using the following steps:. S: Sentence, n: Net, f: Features) p =. ArcHybrid(wcnt(s) # initialize parser state.
denizyuret.com
Deniz Yuret's Homepage: April 2015
http://www.denizyuret.com/2015_04_01_archive.html
160; BibTeX. 160; Courses. 160; CV. 160; Downloads. 160; GitHub. 160; Publications. 160; Projects. 160; Scholar. 160; Students. April 24, 2015. While browsing some interesting talks on the web, I realized some of the "big questions" that cause much confusion fall into one of two categories. Physics does not have X. Is X something real and missing in physics, or is X an illusion, a modeling tool, a result of our limited information, agent based perspective, or stupidity? Has a nice article. That ...
denizyuret.com
Deniz Yuret's Homepage: Beginning deep learning with 500 lines of Julia (Version 0.1)
http://www.denizyuret.com/2015/05/beginning-deep-learning-with-500-lines.html
160; BibTeX. 160; Courses. 160; CV. 160; Downloads. 160; GitHub. 160; Publications. 160; Projects. 160; Scholar. 160; Students. May 17, 2015. Beginning deep learning with 500 lines of Julia (Version 0.1). For a newer version (Knet7) of this tutorial. The code used in this version (KUnet) has been deprecated. For an older version (v0.0) of this tutorial. OK, first a disclaimer: this version of KUnet.jl. For installation instructions. We will use the MNIST. Before using KUnet, we should specify th...
denizyuret.com
Deniz Yuret's Homepage: Naive Bayes is a joint Maximum Entropy Model
http://www.denizyuret.com/2010/11/naive-bayes-is-joint-maximum-entropy.html
160; BibTeX. 160; Courses. 160; CV. 160; Downloads. 160; GitHub. 160; Publications. 160; Projects. 160; Scholar. 160; Students. November 16, 2010. Naive Bayes is a joint Maximum Entropy Model. Consider a classification problem with a D dimensional input vector x and a discrete output variable y. Naive Bayes models assume that the individual components of x are independent given the output y:. P( mathbf{x}, y) = p(y) prod {d=1} D p(x d y) ]. The similarity becomes more apparent. In fact if th...
denizyuret.com
Deniz Yuret's Homepage: July 2015
http://www.denizyuret.com/2015_07_01_archive.html
160; BibTeX. 160; Courses. 160; CV. 160; Downloads. 160; GitHub. 160; Publications. 160; Projects. 160; Scholar. 160; Students. July 10, 2015. Parsing with word vectors. Slides for my talk at the ISI NL Seminar. Subscribe to: Posts (Atom). 100;yuret@ku.edu.tr. Beginning deep learning with 500 lines of Julia. Machine learning in 10 pictures. Ergun's English-Turkish machine translation notes. Some starting points for deep learning and RNNs. Saman Zia, M.S. 2016. Parsing with word vectors.
denizyuret.com
Deniz Yuret's Homepage: Some starting points for deep learning and RNNs
http://www.denizyuret.com/2014/11/some-starting-points-for-deep-learning.html
160; BibTeX. 160; Courses. 160; CV. 160; Downloads. 160; GitHub. 160; Publications. 160; Projects. 160; Scholar. 160; Students. November 12, 2014. Some starting points for deep learning and RNNs. Have done reddit AMA's. These are nice places to start to get a Zeitgeist of the field. At Stanford, the. By Geoffrey Hinton, Machine Learning. By Andrew Ng, Reinforcement Learning. By David Silver, Probabilistic Graphical Models. By Daphne Koller, Convex Optimization. The online book by. Matlab/Octave ...
denizyuret.com
Deniz Yuret's Homepage: Emacs Turkish mode
http://www.denizyuret.com/2006/11/emacs-turkish-mode.html
160; BibTeX. 160; Courses. 160; CV. 160; Downloads. 160; GitHub. 160; Publications. 160; Projects. 160; Scholar. 160; Students. February 17, 2010. This is for people trying to type Turkish documents on a U.S. keyboard using Emacs. The program provides a turkish-mode in which the correct Turkish accents are added to the ascii version of the last word typed each time the user hits space. The latest version is available here. It was inspired by Gökhan Tür's deasciifier:. May 30, 2009. July 16, 2009.
denizyuret.com
Deniz Yuret's Homepage: Beginning deep learning with 500 lines of Julia
http://www.denizyuret.com/2015/02/beginning-deep-learning-with-500-lines.html
160; BibTeX. 160; Courses. 160; CV. 160; Downloads. 160; GitHub. 160; Publications. 160; Projects. 160; Scholar. 160; Students. February 28, 2015. Beginning deep learning with 500 lines of Julia. For a newer version (Knet7) of this tutorial. The code used in this version (KUnet) has been deprecated. There are a number of deep. Which currently implements backprop. With basic units like relu. Standard loss functions like softmax. For generalization, L1-L2 regularization. And optimization using SGD.
denizyuret.com
Deniz Yuret's Homepage: Turkish Language Resources
http://www.denizyuret.com/2006/11/turkish-resources.html
160; BibTeX. 160; Courses. 160; CV. 160; Downloads. 160; GitHub. 160; Publications. 160; Projects. 160; Scholar. 160; Students. January 27, 2014. This post contains links to various Turkish language resources that I have collected. Please send a comment if you find Turkish resources that you would like to see on this page. ITU Turkish Natural Language Processing Pipeline. Taner Sezer's TS Corpus is a 491M token general purpose Turkish corpus. See comments below for details. Turkish morphology te...