• 7 Important Points from Coursera's Deep Learning Specialization
    I would like to share some points in the last two courses of Deep Learning specialization that I found useful and perhaps less widely known.
  • The Recursive Mind: The Origins of Human Language, Thought, and Civilization
    I am interested in language and its evolution. Recently, I read a book related with a story of our language. I don't know you but I am not so good at recalling things from books. Here is my notes from the book.
  • Datasets for NLP
    In this post, I will note and point out datasets which are used for Natural Language Processing Research.
  • TL;DR for Papers I recently read.
    I summarize the Deep Learning and NLP papers I read recently.
  • Install TensorFlow on Anaconda
    setuptools package gives headache when installing TensorFlow on Anaconda environment. Sometimes you get "Cannot remove entries from nonexistent file". The solution might be simple.
  • Struggles of Journalism in Turkey
    In this work, we created a graph using Graph Commons in order to visualize job status of journalists. Current state of free speech for media in Turkey is quite problematic. A lot of media workers are pushing to quit from their job or fired because of their recent works.
  • Materials on Deep Learning
    Useful notes, papers, books, videos and tutorials on Deep Learning
  • Linux Tips and Tricks
    I'd like to note some of the tricks I've learned recently. These tips and tricks may not be well-known and hopefully helpful.
  • jBLAS with OpenBLAS
    What if you don't have any GPU at your fingertips? This is the situation that I face at work. So, will you be satisfied to train your model on one CPU and wait for couple of weeks? No, right? Here is one alternative for Java users. I will explain how to create a JBLAS jar wrapped with OpenBLAS on Linux.